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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.

affaffiliation
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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 8 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.

affunlabeled
The Pedagogical Implications of Web 2.0
Matthias Stürm, Trudy Kennell, Rob McBride
2009· book-chapter· en· IGI Global eBooks· Psychology
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Knowledge Communities in the Classroom
James D. Slotta, Hedieh Najafi
2010· book-chapter· en· Elsevier eBooks· Psychology
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
A Metacognitive Portrait of Gifted Learners
Marion A. Barfurth, Krista Ritchie, Julie Irving, Bruce M. Shore
2009· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
26
citations
venueno affunlabeled
The contribution of the Internet into learning
Efstratios Papanis, Panagiotis Giavrimis, Eirini-Myrsini Papani
2010· article· en· Review of European Studies· Psychology
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Vers un modèle générique d’assistance aux acteurs du téléapprentissage
Aude Dufresne, Josianne Basque, Gilbert Paquette, Michel Léonard, Karin Lundgren-Cayrol, Sandrine Prom Tep
2003· article· en· Sciences et Technologies de l Information et de la Communication pour l Éducation et la Formation· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
venueno affunlabeled
Self-Regulated Learning
Philip H. Winne
2016· article· en· SFU Educational Review· Psychology
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Learn-B
Melody Siadaty, Dragan Gašević, Jelena Jovanović, Nikola Milikić, Zoran Jeremić, Liaqat Ali +2 more
2012· article· en· Psychology
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About