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string(974) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-160x160.webp"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-160x160.webp` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided (truncated...)
 InvalidAccessKeyId (client): The AWS Access Key Id you provided does not exist in our records. - <?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>3E7A4Z0GM4K3A7AP</RequestId><HostId>Kog1EXOLV1Mfpbyu7ZZsFfkc64d1J34KhfJGJsj7CBt6mw2ZTyTcaVVqgDW8D27PIZwMfgor0Jc=</HostId></Error>"

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string(966) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-1122.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-1122.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided (truncated...)
 InvalidAccessKeyId (client): The AWS Access Key Id you provided does not exist in our records. - <?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>KEA5SENC0GCV9F05</RequestId><HostId>hfVu8LX3hSuEM8eodPM9B+UKIGn7ecZf2rgKDAOYw3SKlEX6POq13pEmTIJUgUP8hA4YekK7dKM=</HostId></Error>"

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string(966) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-280.webp"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-280.webp` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided (truncated...)
 InvalidAccessKeyId (client): The AWS Access Key Id you provided does not exist in our records. - <?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>KPVHMCG47MSHGACD</RequestId><HostId>/6gCFbbefuGoxOKTEvq155KaFFc86SP1MKl98zRChw7vjarHcsab+Lr6PXJwZtpXEA1yK1TgJvM=</HostId></Error>"

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string(972) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-160x160.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-160x160.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided (truncated...)
 InvalidAccessKeyId (client): The AWS Access Key Id you provided does not exist in our records. - <?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>KPVH4T0PBAPFSQYT</RequestId><HostId>UR7hitBy3pqVySnaDGuyzLHXxxweSSKasskpbvx0jW9JDT+v8m1AMcfMH3cZEgnY3kz+yVwyrWA=</HostId></Error>"

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string(972) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-160x160.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-160x160.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided (truncated...)
 InvalidAccessKeyId (client): The AWS Access Key Id you provided does not exist in our records. - <?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>PGYV5T6VME1ECHCY</RequestId><HostId>p0zgQyWq5+XRPdwkqmIhIgpV8T3QxfOtty+4GFdaRPCW8IteTmYU2zU5KmiuwGL7LIuIK7QNrmE=</HostId></Error>"

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string(964) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-204.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1112/Helping-Children-Overcome-First-Week-School-Anxiety-f2o184mghq0ww84kkc4ck84g4-204.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
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                <h1 id="main-headline" class="font36" >Columbus Academy Of Literacy And Mathematics (Closed 2012)</h1>
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        <div class="clear-f"></div>
                    <div class="checkmarks_list school-highlights" id="school-highlights">
                            <div class="checkmark_row">
                    <div class="checkmark_content">
                         Columbus Academy Of Literacy And Mathematics serves 122 students in grades Kindergarten-5.&nbsp;                    </div>
                </div>
                            <div class="checkmark_row">
                    <div class="checkmark_content">
                        The student-teacher ratio of 17:1 was equal to the Ohio state level of 17:1.                     </div>
                </div>
                            <div class="checkmark_row">
                    <div class="checkmark_content">
                        Minority enrollment was 98% of the student body (majority Black), which was higher than the Ohio state average of 34% (majority Black).                    </div>
                </div>
                        </div>
            
                    <div id='tms-ad-3' data-ad-viewports='Mobile,Big Mobile,Tablet' data-ad-class=' tmsads  dc-mobile-square-1 dc-big-mobile-square-1 dc-tablet-square-1' data-is-ms-ads='false' data-ms-adunit-id='' data-ad-wrapper-class='srn-ads-cnt dc-mobile-square-1 dc-big-mobile-square-1 dc-tablet-square-1 dc-xs-block dc-md-block dc-lg-block dc-xl-none ' data-ad-id='unit-1605565492599' data-ad-type='default' data-ad-infinite='false' class='srn-ads-cnt srn-ads-cnt dc-mobile-square-1 dc-big-mobile-square-1 dc-tablet-square-1 dc-xs-block dc-md-block dc-lg-block dc-xl-none  '></div>
                    <script>if(window['renderAD']){renderAD('tms-ad-3')}</script>                </div>
            </div>
                        <div id="school-details-box"  class="section-wrapper sec-box-wrapper">
                    <div  class="sec-content sec-no-header sec-box">
                <h2 class='so-dt-title' id="overview">School Overview</h2>
        
                    <div id='tms-ad-4' data-ad-viewports='Desktop' data-ad-class=' tmsads  dc-desktop-horizontal-3' data-is-ms-ads='false' data-ms-adunit-id='' data-ad-wrapper-class='srn-ads-cnt dc-desktop-horizontal-3 dc-xs-none dc-md-none dc-lg-none dc-xl-block ' data-ad-id='unit-1605565251419' data-ad-type='default' data-ad-infinite='false' class='srn-ads-cnt srn-ads-cnt dc-desktop-horizontal-3 dc-xs-none dc-md-none dc-lg-none dc-xl-block  '></div>
                    <script>if(window['renderAD']){renderAD('tms-ad-4')}</script>
                    <div id='tms-ad-5' data-ad-viewports='Tablet' data-ad-class=' tmsads  dc-tablet-square-2' data-is-ms-ads='false' data-ms-adunit-id='' data-ad-wrapper-class='srn-ads-cnt dc-tablet-square-2 dc-xs-none dc-md-none dc-lg-block dc-xl-none ' data-ad-id='unit-1605565518006' data-ad-type='default' data-ad-infinite='false' class='srn-ads-cnt srn-ads-cnt dc-tablet-square-2 dc-xs-none dc-md-none dc-lg-block dc-xl-none  '></div>
                    <script>if(window['renderAD']){renderAD('tms-ad-5')}</script>        <div  class="general-data-table so-data-table" >
                    <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Grades Offered</div>
                <div class="dt-value-cell  dt-cells-1 "  >Grades Kindergarten-5</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="students_by_grade" id="students_by_grade_chart_div" aria-label="This chart displays the students of Columbus Academy Of Literacy And Mathematics by grade." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Students-By-Grade"></div>
                <div id="overlay-students_by_grade-sm" class="chart_nav_bar small_device"><a id="data-link-students_by_grade-sm" class="chart_nav_item" data-type="data" data-chart-id="students_by_grade" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="students_by_grade">
                    <table class="min-chart-datatable mcd-col2"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Distribution of Students By Grade Trends</h3><thead class="mcd-thead"><tr><th class="mcd-th col_grade">Grade</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">Kind</td><td class="mcd-td col_school">34</td></tr><tr><td class="mcd-td col_year">1</td><td class="mcd-td col_school">16</td></tr><tr><td class="mcd-td col_year">2</td><td class="mcd-td col_school">22</td></tr><tr><td class="mcd-td col_year">3</td><td class="mcd-td col_school">18</td></tr><tr><td class="mcd-td col_year">4</td><td class="mcd-td col_school">18</td></tr><tr><td class="mcd-td col_year">5</td><td class="mcd-td col_school">14</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="students_by_grade" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="students_by_grade" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="students_by_grade" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Students_By_Grade" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for This chart displays the students of Columbus Academy Of Literacy And Mathematics by grade. at Columbus Academy Of Literacy And Mathematics:
grade | school
Kind | 34
1 | 16
2 | 22
3 | 18
4 | 18
5 | 14

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Total Students</div>
                <div class="dt-value-cell  dt-cells-1 "  >122 students</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="total_students" id="total_students_chart_div" aria-label="This chart illustrates the total number of students at Columbus Academy Of Literacy And Mathematics over the years, with the most recent data from the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Total-Students-2011-2024"></div>
                <div id="overlay-total_students-sm" class="chart_nav_bar small_device"><a id="data-link-total_students-sm" class="chart_nav_item" data-type="data" data-chart-id="total_students" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="total_students">
                    <table class="min-chart-datatable mcd-col2"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Total Students Trends Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">122</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">122</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="total_students" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="total_students" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="total_students" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Total_Students" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Total Students Trends Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school
2024 | 122
2023 | 122
2022 | 122
2021 | 122
2019 | 122
2018 | 122
2017 | 122
2016 | 122
2015 | 122
2011 | 122

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Total Classroom Teachers</div>
                <div class="dt-value-cell  dt-cells-1 "  >7 teachers</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="total_teachers" id="total_teachers_chart_div" aria-label="This chart illustrates the total number of teachers at Columbus Academy Of Literacy And Mathematics over the years, with the most recent data from the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Total-Teachers-2011-2024"></div>
                <div id="overlay-total_teachers-sm" class="chart_nav_bar small_device"><a id="data-link-total_teachers-sm" class="chart_nav_item" data-type="data" data-chart-id="total_teachers" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="total_teachers">
                    <table class="min-chart-datatable mcd-col2"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Total Classroom Teachers Trends Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">7</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">7</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="total_teachers" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="total_teachers" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="total_teachers" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Total_Teachers" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Total Classroom Teachers Trends Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school
2024 | 7
2023 | 7
2022 | 7
2021 | 7
2019 | 7
2018 | 7
2017 | 7
2016 | 7
2015 | 7
2011 | 7

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                    </div>
        
                    <div id='tms-ad-6' data-ad-viewports='Mobile,Big Mobile' data-ad-class=' tmsads  dc-mobile-square-3 dc-big-mobile-square-3' data-is-ms-ads='false' data-ms-adunit-id='' data-ad-wrapper-class='srn-ads-cnt dc-mobile-square-3 dc-big-mobile-square-3 dc-xs-block dc-md-block dc-lg-none dc-xl-none ' data-ad-id='unit-1605566104808' data-ad-type='default' data-ad-infinite='false' class='srn-ads-cnt srn-ads-cnt dc-mobile-square-3 dc-big-mobile-square-3 dc-xs-block dc-md-block dc-lg-none dc-xl-none  '></div>
                    <script>if(window['renderAD']){renderAD('tms-ad-6')}</script>        <h2 class='so-dt-title' id="school-rankings">School Rankings</h2>
        
                    <div id='tms-ad-7' data-ad-viewports='Desktop' data-ad-class=' tmsads  dc-desktop-horizontal-4' data-is-ms-ads='false' data-ms-adunit-id='' data-ad-wrapper-class='srn-ads-cnt dc-desktop-horizontal-4 dc-xs-none dc-md-none dc-lg-none dc-xl-block ' data-ad-id='unit-1605565326090' data-ad-type='default' data-ad-infinite='false' class='srn-ads-cnt srn-ads-cnt dc-desktop-horizontal-4 dc-xs-none dc-md-none dc-lg-none dc-xl-block  '></div>
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                    <script>if(window['renderAD']){renderAD('tms-ad-8')}</script>        <div  class="general-data-table so-data-table" >
                    <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell definitions-name-cell"  ><a href="/definitions/school-vs-state" class="bubble_text definitions-link" data-rel="tooltip" role="tooltip" data-tippy-content="Definitions about comparing school level data and state level data, click and see more details" onclick="window.open('/definitions/school-vs-state', 'Definitions', 'status,resizable,scrollbars,width=800,height=800'); return false" >Definition of Terms</a></div>
                <div class="dt-value-cell fw-600 dt-cells-2 "  >This School</div>
                <div class="dt-value-cell fw-600 dt-cells-2 "  >State Level (OH)</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Student-Teacher Ratio</div>
                <div class="dt-value-cell  dt-cells-2 "  >17:1</div>
                <div class="dt-value-cell  dt-cells-2 "  >17:1</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="teacher_student_ratio" id="teacher_student_ratio_chart_div" aria-label="This chart presents a comparison of the student-teacher ratio at Columbus Academy Of Literacy And Mathematics with the average student-teacher ratio for public schools in the Columbus Academy Of Literacy And Mathematics School District and the state of Ohio, utilizing data from multiple years and featuring the most recent figures from the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Teacher-Student-Ratio-2011-2024"></div>
                <div id="overlay-teacher_student_ratio-sm" class="chart_nav_bar small_device"><a id="data-link-teacher_student_ratio-sm" class="chart_nav_item" data-type="data" data-chart-id="teacher_student_ratio" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="teacher_student_ratio">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Student-Teacher Ratio Comparison Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th><th class="mcd-th col_state">Ohio</th><th class="mcd-th col_district">Columbus Academy Of Literacy And Mathematics School District</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">18:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">17:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">18:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">17:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">18:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">18:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">18:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">18:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">16:1</td><td class="mcd-td col_district">17:1</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">17:1</td><td class="mcd-td col_district">17:1</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="teacher_student_ratio" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="teacher_student_ratio" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="teacher_student_ratio" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
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            <a href="#" class="ai-debug-btn" data-chart-key="Teacher_Student_Ratio" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Student-Teacher Ratio Comparison Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school | state | district
2024 | 17:1 | 18:1 | 17:1
2023 | 17:1 | 17:1 | 17:1
2022 | 17:1 | 18:1 | 17:1
2021 | 17:1 | 17:1 | 17:1
2019 | 17:1 | 18:1 | 17:1
2018 | 17:1 | 18:1 | 17:1
2017 | 17:1 | 18:1 | 17:1
2016 | 17:1 | 18:1 | 17:1
2015 | 17:1 | 16:1 | 17:1
2011 | 17:1 | 17:1 | 17:1

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color1">American Indian</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><span class="gray">n/a</span></div>
                <div class="dt-value-cell  dt-cells-2 "  ><span class="gray">n/a</span></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color2">Asian</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><span class="gray">n/a</span></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="3">3%</div>
            </div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color3">Hispanic</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="3">3%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="8">8%</div>
            </div><div id="hispanic_students_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="hispanic_students_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="hispanic_students_ethnicity" id="hispanic_students_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as Hispanic at Columbus Academy Of Literacy And Mathematics, versus the percentage of public school students who identify as Hispanic in the Columbus Academy Of Literacy And Mathematics School District and in Ohio, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Hispanic-Students-Ethnicity-2011-2024"></div>
                <div id="overlay-hispanic_students_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-hispanic_students_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="hispanic_students_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="hispanic_students_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Hispanic Student Percentage Comparison Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th><th class="mcd-th col_state">Ohio</th><th class="mcd-th col_district">Columbus Academy Of Literacy And Mathematics School District</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">8%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">7%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">7%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">6%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">6%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">2%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="hispanic_students_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="hispanic_students_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="hispanic_students_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Hispanic_Students_Ethnicity" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Hispanic Student Percentage Comparison Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school | state | district
2024 | 3% | 8% | 3%
2023 | 3% | 7% | 3%
2022 | 3% | 7% | 3%
2021 | 3% | 6% | 3%
2019 | 3% | 6% | 3%
2018 | 2% | 5% | 2%
2017 | 2% | 5% | 2%
2016 | 2% | 5% | 2%
2015 | 2% | 5% | 2%
2011 | 2% | 3% | 2%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color4">Black</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="94">94%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="17">17%</div>
            </div><div id="black_students_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="black_students_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="black_students_ethnicity" id="black_students_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as Black at Columbus Academy Of Literacy And Mathematics, versus the percentage of public school students who identify as Black in the Columbus Academy Of Literacy And Mathematics School District and in Ohio, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Black-Students-Ethnicity-2011-2024"></div>
                <div id="overlay-black_students_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-black_students_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="black_students_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="black_students_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Black Student Percentage Comparison Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th><th class="mcd-th col_state">Ohio</th><th class="mcd-th col_district">Columbus Academy Of Literacy And Mathematics School District</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">94%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">94%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">94%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">94%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">94%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">94%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">94%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">94%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">94%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">94%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">95%</td><td class="mcd-td col_state">16%</td><td class="mcd-td col_district">95%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">95%</td><td class="mcd-td col_state">16%</td><td class="mcd-td col_district">95%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">95%</td><td class="mcd-td col_state">16%</td><td class="mcd-td col_district">95%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">95%</td><td class="mcd-td col_state">16%</td><td class="mcd-td col_district">95%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">94%</td><td class="mcd-td col_state">16%</td><td class="mcd-td col_district">94%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="black_students_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="black_students_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="black_students_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Black_Students_Ethnicity" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Black Student Percentage Comparison Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school | state | district
2024 | 94% | 17% | 94%
2023 | 94% | 17% | 94%
2022 | 94% | 17% | 94%
2021 | 94% | 17% | 94%
2019 | 94% | 17% | 94%
2018 | 95% | 16% | 95%
2017 | 95% | 16% | 95%
2016 | 95% | 16% | 95%
2015 | 95% | 16% | 95%
2011 | 94% | 16% | 94%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color5">White</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="2">2%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="66">66%</div>
            </div><div id="white_students_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="white_students_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="white_students_ethnicity" id="white_students_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as White at Columbus Academy Of Literacy And Mathematics, versus the percentage of public school students who identify as White in the Columbus Academy Of Literacy And Mathematics School District and in Ohio, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-White-Students-Ethnicity-2011-2024"></div>
                <div id="overlay-white_students_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-white_students_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="white_students_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="white_students_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">White Student Percentage Comparison Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th><th class="mcd-th col_state">Ohio</th><th class="mcd-th col_district">Columbus Academy Of Literacy And Mathematics School District</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">66%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">67%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">67%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">68%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">69%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">71%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">71%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">71%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">72%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">74%</td><td class="mcd-td col_district">2%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="white_students_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="white_students_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="white_students_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="White_Students_Ethnicity" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for White Student Percentage Comparison Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school | state | district
2024 | 2% | 66% | 2%
2023 | 2% | 67% | 2%
2022 | 2% | 67% | 2%
2021 | 2% | 68% | 2%
2019 | 2% | 69% | 2%
2018 | 3% | 71% | 3%
2017 | 3% | 71% | 3%
2016 | 3% | 71% | 3%
2015 | 3% | 72% | 3%
2011 | 2% | 74% | 2%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color6">Hawaiian</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><span class="gray">n/a</span></div>
                <div class="dt-value-cell  dt-cells-2 "  ><span class="gray">n/a</span></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color7">Two or more races</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="1">1%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="6">6%</div>
            </div><div id="two_or_more_races_students_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="two_or_more_races_students_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="two_or_more_races_students_ethnicity" id="two_or_more_races_students_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as two or more races at Columbus Academy Of Literacy And Mathematics, versus the percentage of public school students who identify as two or more races in the Columbus Academy Of Literacy And Mathematics School District and in Ohio, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Two-Or-More-Races-Students-Ethnicity-2011-2024"></div>
                <div id="overlay-two_or_more_races_students_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-two_or_more_races_students_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="two_or_more_races_students_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="two_or_more_races_students_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Two or More Races Student Percentage Comparison Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th><th class="mcd-th col_state">Ohio</th><th class="mcd-th col_district">Columbus Academy Of Literacy And Mathematics School District</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">6%</td><td class="mcd-td col_district">1%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">6%</td><td class="mcd-td col_district">1%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">6%</td><td class="mcd-td col_district">1%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">6%</td><td class="mcd-td col_district">1%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">1%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">4%</td><td class="mcd-td col_district">1%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="two_or_more_races_students_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="two_or_more_races_students_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="two_or_more_races_students_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Two_Or_More_Races_Students_Ethnicity" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Two or More Races Student Percentage Comparison Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school | state | district
2024 | 1% | 6% | 1%
2023 | 1% | 6% | 1%
2022 | 1% | 6% | 1%
2021 | 1% | 6% | 1%
2019 | 1% | 5% | 1%
2011 | 1% | 4% | 1%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >All Ethnic Groups</div>
                <div class="dt-value-cell chartimg-cell dt-cells-2 "  ><div class="chartdiv" id="school_ethnicity_chart_div" aria-label="This pie chart illustrates the percentage distribution of students across all ethnic groups at Columbus Academy Of Literacy And Mathematics." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-School-Ethnicity"></div></div>
                <div class="dt-value-cell chartimg-cell dt-cells-2 "  ><div class="chartdiv" id="state_ethnicity_school_chart_div" aria-label="This pie chart illustrates the percentage distribution of students across all ethnic groups in Ohio." data-download-name="OH-State-Ethnicity-School"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The chance that two students selected at random would be members of a different ethnic group. Scored from 0 to 1, a diversity score closer to 1 indicates a more diverse student body.'>Diversity Score</div></div>
                <div class="dt-value-cell  dt-cells-2 "  >0.12</div>
                <div class="dt-value-cell  dt-cells-2 "  ><a href='/diversity-rankings-stats/ohio'>0.53</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="diversity_score" id="diversity_score_chart_div" aria-label="This chart showcases the diversity score of Columbus Academy Of Literacy And Mathematics, juxtaposed with the average diversity score for public schools in the Columbus Academy Of Literacy And Mathematics School District and Ohio, utilizing data that spans several years and includes the most recent figures from the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Diversity-Score-2011-2024"></div>
                <div id="overlay-diversity_score-sm" class="chart_nav_bar small_device"><a id="data-link-diversity_score-sm" class="chart_nav_item" data-type="data" data-chart-id="diversity_score" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="diversity_score">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Diversity Score Comparison Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th><th class="mcd-th col_state">Ohio</th><th class="mcd-th col_district">Columbus Academy Of Literacy And Mathematics School District</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">0.12</td><td class="mcd-td col_state">0.53</td><td class="mcd-td col_district">0.12</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">0.12</td><td class="mcd-td col_state">0.52</td><td class="mcd-td col_district">0.12</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">0.12</td><td class="mcd-td col_state">0.52</td><td class="mcd-td col_district">0.12</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">0.12</td><td class="mcd-td col_state">0.51</td><td class="mcd-td col_district">0.12</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">0.12</td><td class="mcd-td col_state">0.49</td><td class="mcd-td col_district">0.12</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">0.10</td><td class="mcd-td col_state">0.47</td><td class="mcd-td col_district">0.10</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">0.10</td><td class="mcd-td col_state">0.47</td><td class="mcd-td col_district">0.10</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">0.10</td><td class="mcd-td col_state">0.47</td><td class="mcd-td col_district">0.10</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">0.10</td><td class="mcd-td col_state">0.46</td><td class="mcd-td col_district">0.10</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">0.12</td><td class="mcd-td col_state">0.43</td><td class="mcd-td col_district">0.12</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="diversity_score" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="diversity_score" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="diversity_score" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Diversity_Score" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Diversity Score Comparison Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school | state | district
2024 | 0.12 | 0.53 | 0.12
2023 | 0.12 | 0.52 | 0.12
2022 | 0.12 | 0.52 | 0.12
2021 | 0.12 | 0.51 | 0.12
2019 | 0.12 | 0.49 | 0.12
2018 | 0.10 | 0.47 | 0.10
2017 | 0.10 | 0.47 | 0.10
2016 | 0.10 | 0.47 | 0.10
2015 | 0.10 | 0.46 | 0.10
2011 | 0.12 | 0.43 | 0.12

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Eligible for <span class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='Families meeting income eligibility guidelines may qualify for free and reduced price meals or free milk. These guidelines are used by schools, institutions, and facilities participating in the National School Lunch Program (and Commodity School Program), School Breakfast Program, Special Milk Program for Children, Child and Adult Care Food Program and Summer Food Service Program.'>Free Lunch</span></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="98">98%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="42">42%</div>
            </div><div id="freelunch_students_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="freelunch_students_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="freelunch_students" id="freelunch_students_chart_div" aria-label="This chart showcases the percentage of students eligible for free lunch at Columbus Academy Of Literacy And Mathematics, juxtaposed with the average percentage of public school students eligible for free lunch in the Columbus Academy Of Literacy And Mathematics School District and Ohio, utilizing data that spans several years and includes the most recent figures from the 2023-24 school year." data-download-name="Columbus-Academy-Of-Literacy-And-Mathematics-Freelunch-Students-2011-2024"></div>
                <div id="overlay-freelunch_students-sm" class="chart_nav_bar small_device"><a id="data-link-freelunch_students-sm" class="chart_nav_item" data-type="data" data-chart-id="freelunch_students" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="freelunch_students">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Free Lunch Eligibility Comparison Over Years (2011-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">Columbus Academy Of Literacy And Mathematics</th><th class="mcd-th col_state">Ohio</th><th class="mcd-th col_district">Columbus Academy Of Literacy And Mathematics School District</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">98%</td><td class="mcd-td col_state">42%</td><td class="mcd-td col_district">98%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">98%</td><td class="mcd-td col_state">37%</td><td class="mcd-td col_district">98%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">98%</td><td class="mcd-td col_state">38%</td><td class="mcd-td col_district">98%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">98%</td><td class="mcd-td col_state">39%</td><td class="mcd-td col_district">98%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">98%</td><td class="mcd-td col_state">39%</td><td class="mcd-td col_district">98%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">97%</td><td class="mcd-td col_state">23%</td><td class="mcd-td col_district">97%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">97%</td><td class="mcd-td col_state">23%</td><td class="mcd-td col_district">97%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">97%</td><td class="mcd-td col_state">40%</td><td class="mcd-td col_district">97%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">97%</td><td class="mcd-td col_state">40%</td><td class="mcd-td col_district">97%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">98%</td><td class="mcd-td col_state">37%</td><td class="mcd-td col_district">98%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="freelunch_students" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="freelunch_students" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="freelunch_students" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Freelunch_Students" data-entity-id="390139105619" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Free Lunch Eligibility Comparison Over Years (2011-2024) at Columbus Academy Of Literacy And Mathematics:
year | school | state | district
2024 | 98% | 42% | 98%
2023 | 98% | 37% | 98%
2022 | 98% | 38% | 98%
2021 | 98% | 39% | 98%
2019 | 98% | 39% | 98%
2018 | 97% | 23% | 97%
2017 | 97% | 23% | 97%
2016 | 97% | 40% | 97%
2015 | 97% | 40% | 97%
2011 | 98% | 37% | 98%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
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                <div class="dt-name-cell "  >School Statewide Testing</div>
                <div class="dt-value-cell  dt-cells-1 "  ><a href="http://education.ohio.gov/" target="_blank">View Education Department Test Scores</a></div>
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                <div class="dt-name-cell "  >School District Name</div>
                <div class="dt-value-cell  dt-cells-1 "  >Columbus Academy Of Literacy And Mathematics School District</div>
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        <div class='so-dt-source-wrapper'>Source: National Center for Education Statistics (NCES), OH Dept. of Education</div><h2 class='so-dt-title' id='faq'>Frequently Asked Questions</h2>                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">How many students attend Columbus Academy Of Literacy And Mathematics?</div></summary>
                    <div class="faq-question">122 students attend Columbus Academy Of Literacy And Mathematics.</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What is the racial composition of the student body?</div></summary>
                    <div class="faq-question">94% of Columbus Academy Of Literacy And Mathematics students are Black, 3% of students are Hispanic, 2% of students are White, and 1% of students are Two or more races.</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What is the student-teacher ratio of Columbus Academy Of Literacy And Mathematics?</div></summary>
                    <div class="faq-question">Columbus Academy Of Literacy And Mathematics has a student ration of 17:1, which is equal to the Ohio state average of 17:1.</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What grades does Columbus Academy Of Literacy And Mathematics offer ?</div></summary>
                    <div class="faq-question">Columbus Academy Of Literacy And Mathematics offers enrollment in grades Kindergarten-5</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What school district is Columbus Academy Of Literacy And Mathematics part of? </div></summary>
                    <div class="faq-question">Columbus Academy Of Literacy And Mathematics is part of Columbus Academy Of Literacy And Mathematics School District.</div>
                </details>
                
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                <div class="tp-list-column column1">School<BR><span class="tpl-head-row-subtitle">(Math and Reading Proficiency)</span></div>
                <div class="tp-list-column column2">Location</div>
                <div class="tp-list-column column3">Miles</div>
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                    <div class="tp-list-row list-row-border-2 bg_hover_change ">
                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/westfall-elementary-school-profile'>Westfall Elementary School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 61% | Reading: 72%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="Ohio" data-rank-score="7" data-rank-perc="top 50%"  >Rank</span>: <div class="rank-score-cnt rank-color-7">7/<div class="total-rank-score">10</div></div>  Top 50%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="91886" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">9391 State Route 56<BR>Williamsport, OH 43164<BR>(740) 986-4008</div>
        <div class="tp-list-column column3">9213.5<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>PK-5 | 627 students</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>24:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>8%</span></span></div>
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                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/westfall-high-school-profile'>Westfall High School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 35-39% | Reading: 70-74%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="Ohio" data-rank-score="6" data-rank-perc="top 50%"  >Rank</span>: <div class="rank-score-cnt rank-color-6">6/<div class="total-rank-score">10</div></div>  Top 50%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="64413" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">19463 Pherson Pike<BR>Williamsport, OH 43164<BR>(740) 986-2911</div>
        <div class="tp-list-column column3">9213.6<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>9-12 | 421 students</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>26:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>7%</span></span></div>
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                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/westfall-middle-school-profile'>Westfall Middle School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 55% | Reading: 59%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="Ohio" data-rank-score="5" data-rank-perc="bottom 50%"  >Rank</span>: <div class="rank-score-cnt rank-color-5">5/<div class="total-rank-score">10</div></div>  Bottom 50%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="64414" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">19545 Pherson Pike<BR>Williamsport, OH 43164<BR>(740) 986-2941</div>
        <div class="tp-list-column column3">9213.6<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>6-8 | 324 students</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>25:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>6%</span></span></div>
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                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/alton-hall-elementary-school-profile'>Alton Hall Elementary School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 40-44% | Reading: 40-44%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="Ohio" data-rank-score="3" data-rank-perc="bottom 50%"  >Rank</span>: <div class="rank-score-cnt rank-color-5">3/<div class="total-rank-score">10</div></div>  Bottom 50%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="62790" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">982 Alton Rd<BR>Galloway, OH 43119<BR>(614) 801-8000</div>
        <div class="tp-list-column column3">9213.7<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>PK-4 | 515 students</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>19:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>49%</span></span></div>
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                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/darby-creek-elementary-school-profile'>Darby Creek Elementary School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 74% | Reading: 74%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="Ohio" data-rank-score="8" data-rank-perc="top 30%"  >Rank</span>: <div class="rank-score-cnt rank-color-8">8/<div class="total-rank-score">10</div></div>  Top 30%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="63751" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">6305 Pinefield Dr<BR>Hilliard, OH 43026<BR>(614) 921-5500</div>
        <div class="tp-list-column column3">9214.3<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>3-5 | 504 students</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>17:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>29%</span></span></div>
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