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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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School Choice and Performance
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

795 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
795 works in the cohort · of 4,299,418page 3 of 16

Labels cover 3 of 795 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 795 of 795 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
End of Consensus
Toby L. Parcel, Andrew Taylor
2015· book· en· University of North Carolina Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
43
citations
aboutno affunlabeled
Using School-Wide Data to Advocate for Student Success
Richard L. Hayes, Judi-Lee Nelson, Melissa Tabin, George Pearson, Charles Worthy
2002· article· en· Professional School Counseling· Social Sciences
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Race, Poverty, and Teacher Mobility
Todd Stinebrickner, Benjamin Scafidi, David L. Sjoquist
2005· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Toward a General Theory of Peer Effects
Vincent Boucher, Michelle Rendall, Philip Ushchev, Yves Zénou
2024· article· en· Econometrica· Social Sciences
machine prediction:candidate · noneconsensus · none
39
citations
afffundunlabeled
“You’ve Got to Learn the Rules”
Rebecca D. Cox
2015· article· en· Community College Review· Social Sciences
machine prediction:candidate · noneconsensus · none
34
citations
afffundunlabeled
A New Method for Estimating Teacher Value-Added
Michael Gilraine, Jiaying Gu, R. S. McMillan
2020· report· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
33
citations
affvenueaboutunlabeled
Summer Learning Inequality in Ontario
Scott Davies, Janice Aurini
2013· article· en· Canadian Public Policy· Social Sciences
machine prediction:candidate · noneconsensus · none
33
citations
affaboutno abstractunlabeled
Sorting and inequality in Canadian schools
Jane Friesen, Brian Krauth
2007· article· en· Journal of Public Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
aboutno affunlabeled
Does School Choice Increase School Quality
George Holmes, Jeffrey DeSimone, Nicholas G. Rupp
2003· preprint· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
Freeing the Italian school system
Andrea Ichino, Guido Tabellini
2014· article· en· Labour Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
venueno affunlabeled
Inequalities in Mexican Children’s Schooling
Marta Mier y Terán Rocha, Cecilia Romero
2003· article· en· Journal of Comparative Family Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations

How this was built: Screen · Findings · About