← All proof trees · GEN. GEORGE A. MCCALL SCHOOL

1. 1
   What you seePVAAS growth — ELA/Literature

   100.00

   the state's PVAAS growth index for English/literature — whether the school's students grew as much as expected (the state's value-added score, on its own scale).

   vs. peers

   88th percentile

   vs. citywide

   86th percentile

   unit

   index (publisher's scale)

   direction

   higher is better

2. 2
   How it was computedvalue = the state's published percentage for the school × subgroup, as-is

   1. Read the state's wide-format datafile: one row per Pennsylvania school, one column per measure × subgroup (e.g. PercentPersistentAttendance_Black).
   2. Keep Philadelphia rows by mapping the state's AUN + Schl codes to the district's ULCS code through the Master School List.
   3. Unpivot each recognized measure × subgroup column into one served cell; state suppression codes ('IS', '--', '*') are stored as suppressed.

   Citywide percentile, reconstructed right now

   Among 38 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 27 and ties 10. Midrank rule: (27 + 10/2) / (38 − 1) = 0.865.Stored: 0.865. ✓ matches

   How percentiles are computed · How peer groups are chosen

   Peer percentile, reconstructed right now

   Peer group: up to 40 of the demographically nearest schools among Elementary-Middle / catchment / district schools; 12 of 40 peers have a value this year. This school is above 9 and ties 3 of them. Midrank: (9 + 3/2) / (13 − 1) = 0.875; stored 0.875. ✓ matches

   The peers and their values (12)

   Peer school	Value
   D. NEWLIN FELL SCHOOL	100.00
   JOHN H. TAGGART SCHOOL	100.00
   NORTHEAST COMMUNITY PROPEL ACADEMY	100.00
   PENN ALEXANDER SCHOOL	99.00
   MAYFAIR SCHOOL	98.00
   STEPHEN DECATUR SCHOOL	97.00
   ROBERT B. POLLOCK SCHOOL	95.00
   SOUTHWARK SCHOOL	93.00
   JOSEPH GREENBERG SCHOOL	93.00
   LOUIS H. FARRELL SCHOOL	92.00
   ELIZA B. KIRKBRIDE SCHOOL	82.00
   GILBERT SPRUANCE SCHOOL	77.00

   Note: stored percentiles are computed by a batch script after loads; a difference from the live reconstruction means a newer load changed the comparison set and the batch has not been re-run.

   Evidence: metric tree: PVAAS growth — ELA/Literature

3. 3
   The stored cellThe stored cell

   table

   philly_school_year_metrics

   value

   100

   denominator

   null (not published)

   suppressed

   false

   citywide_percentile

   0.8649

   comparison_group_percentile

   0.8750

   source_load_id

   8ba7d9e6-a94a-4a6f-9e9b-ceb2707d43de

   Evidence: data model overview

4. 4
   The load that wrote itWritten on 2026-09-08 by futurereadypa_performance.ts

   source id

   futurereadypa_performance_2024-25

   file URL

   https://futurereadypa.org/home/getdatafile?id=60

   SHA-256 of the file read

   a16ffc40e7d1851d5ac83dd63d8ca5348ead064e029bade593a0182ed085bc92Copy hash

   bytes

   5,113,152

   year covered

   2024-25

   code commit

   c19ea6ec845c65bcc40eb49644be1c7e67b05f25

   To confirm you have the same file: download it from the URL above, then run shasum -a 256 <downloaded file> Copy command — the output should equal the hash above. If the publisher has since replaced the file, the hashes will differ, which is itself useful to know.

   Evidence: loader script · first-fetch findings for this file · source registry

5. 5
   The publisher's fileFuture Ready PA Index datafile, 2024-25

   Pennsylvania Department of Education (Future Ready PA Index). The state's school-level accountability indicators for every public school in Pennsylvania — test proficiency, growth (PVAAS), persistent attendance, graduation — by subgroup.

   format

   XLSX (wide: one column per measure × subgroup)

   join key

   AUN + Schl (state IDs), mapped to ULCS via the Master School List

   landing page

   https://futurereadypa.org/Home/DataFiles

   • The chronic-absenteeism column exists in the file but is empty for individual Philadelphia schools; the state reports persistent attendance instead.
   • Publishes no student counts for the attendance measure.
   • Its 90%-attendance figure does not match the district's for the same schools (see the cross-publisher check).
6. 6
   How it was checkedChecks: 0 passed, 1 not run

   • ○ not runBase case against the state file not yet run for this metric (the loader is shared with keystone_algebra_proficiency, whose SDP-side base case passed)
7. 7
   Assumptions & caveatsAssumptions and caveats

   • The state's AUN + Schl → ULCS mapping from the 2024-25 Master School List is correct. State rows for schools not in that directory — district schools that closed before 2024-25 — are not loaded, so every year of state data is a survivor-only panel; cyber charters have their own AUNs and are outside the district's directory.
   • Where two directory schools share a state code (a school and its Continuation Academy), the state's single row belongs to the main school (deterministic rule; the full absenteeism QA lists every shared code).

   • The state publishes no student counts for most measures, so served cells carry no denominator.

   Algorithms involved: Reading the state's wide-format datafile, Citywide and peer-group percentiles, Peer groups: 40 nearest neighbors on demographics