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PRWP

Reproducibility package for Scaling Up Classroom Observation With Large Language Models: A Reliability Study Of The World Bank's Teach Framework In Peru

2026
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Reference ID
RR_PER_2026_700
DOI
https://doi.org/10.60572/mjc8-rk86
Author(s)
Carolina Lopez, Ezequiel Molina, Matthew D. Krasnow, Jostin Kitmang, Carolina Moreira Vasquez, William J. Krasnow
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Aug 17, 2026
Last modified
Aug 17, 2026
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8
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Other Materials
README for the reproducibility package for Scaling up classroom observation with large language models: A reliability study of the World Bank's Teach framework in Peru
Download [PDF, 369.02 KB]
Download https://reproducibility.worldbank.org//catalog/630/download/1872
Reproducibility verification for Scaling up classroom observation with large language models: A reliability study of the World Bank's Teach framework in Peru
Download [PDF, 138.92 KB]
Download https://reproducibility.worldbank.org//catalog/630/download/1873
Reproducibility package for Scaling up classroom observation with large language models: A reliability study of the World Bank's Teach framework in Peru
Download [ZIP, 2.59 MB]
Download https://reproducibility.worldbank.org//catalog/630/download/1874
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RR_PER_2026_700
data_hash_report.csv
LICENSE.txt
README.pdf
Reproducibility package
code
00_master.py
01_video_assignment.ipynb
02_audio_conversion.ipynb
03_transcript_generation.ipynb
04_cleaning_and_eda.ipynb
05_evaluation.ipynb
06_performance.ipynb
07_statistical_analysis.ipynb
figures
figure2.py
figure3.py
figure4.py
figure5.py
models
AI.py
control
control.py
PromptTemplates.py
README.md
timestamped
timestamped.py
_context
create_low_no_na_rubric.py
create_low_priors_rubric.py
create_policy_rubric.py
Highest_Teach_1.json
high_Teach_1.json
low_priors_no_na_Teach_1.json
low_priors_Teach_1.json
low_Teach_1.json
med_Teach_1.json
no_rubric_TEACH_1.json
policy_high_Teach_1.json
policy_medium_Teach_1.json
README.md
Teach Training Manual 1.0.md
teach_1_manual.py
Teach_Manual_English 1.0.md
requirements.txt
tables
generate_tables_s1_s5.py
table2.py
table3.py
table4.py
table5.py
table6.py
verify_numerics.py
output
figures
figure1.tex
figure2.pdf
figure2.png
figure3.pdf
figure3.png
figure4.pdf
figure4.png
figure5.pdf
figure5.png
reports
0-TEST-Control_report.md
13-Short-Reasoner-No-Priors-No-NAs_report.md
17-Long-Non-Reasoner-Priors-No-NAs_report.md
2-TEST-Medium-Rubric_report.md
3-TEST-High-Rubric_report.md
4-TEST-High-Rubric-Reasoning_report.md
5-TEST-High-Rubric-Timestamped_report.md
9-policy-high_report.md
monte_carlo_bar_chart_ci.png
monte_carlo_pie_charts.png
reliability_exam_summary.txt
segment_pass_dashboard.png
tables
supp_tables.xlsx
table1.tex
table2.tex
table3.tex
table4.tex
table5.tex
table6.tex
table_s1.csv
table_s1.tex
table_s2.csv
table_s2.tex
table_s3.csv
table_s3.tex
table_s4.csv
table_s4.tex
table_s5.csv
table_s5.tex
table_s5_clip_distribution.csv
table_s5_clip_distribution.tex
reproducibility_report_RR_PER_2026_700.pdf
WB-IGO-RIDER.txt
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