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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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Innovative Teaching and Learning Methods
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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.

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

2,128 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.
2,128 works in the cohort · of 4,299,418page 7 of 43

Labels cover 7 of 2,128 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 2,128 of 2,128 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.

affaboutunlabeled
“When I saw my peers annotating”
Jeremiah Kalir, Esteban Morales, Alice Fleerackers, Juan Pablo Alperín
2020· article· en· Information and Learning Sciences· Psychology
machine prediction:candidate · noneconsensus · none
33
citations
fundno affunlabeled
Modeling Didactic Knowledge by Storyboarding
Rainer Knauf, Yoshitaka Sakurai, Setsuo Tsuruta, Klaus P. Jantke
2010· article· en· Journal of Educational Computing Research· Psychology
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
Self-Regulated Inquiry with Networked Resources
John C. Nesbit, Philip H. Winne
2003· article· en· Canadian Journal of Learning and Technology· Psychology
machine prediction:candidate · noneconsensus · none
29
citations
afffundvenueunlabeled
Tutoring Adolescents in Literacy: A meta-analysis
Seung Won Jun, Gloria Ramírez, Alister Cumming
2011· article· en· McGill Journal of Education / Revue des sciences de l éducation de McGill· Psychology
machine prediction:candidate · noneconsensus · none
28
citations
venueno affunlabeled
Teachers’ Perspectives on Educational Research
Karen Drill, Shazia Rafiullah Miller, Ellen Behrstock-Sherratt
2013· article· en· Brock Education Journal· Psychology
machine prediction:candidate · metaresearchconsensus · none
28
citations

How this was built: Screen · Findings · About