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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.

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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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Education and Technology Integration
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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.

805 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.
805 works in the cohort · of 4,299,418page 1 of 17

Labels cover 2 of 805 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 805 of 805 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.

afffundunlabeled
Student and Teacher Views About Technology
Qing Li
2007· article· en· Journal of Research on Technology in Education· Social Sciences
machine prediction:candidate · noneconsensus · none
198
citations
affunlabeled
APPROACHES TO STUDENT ENGAGEMENT: DOES IDEOLOGY MATTER?
Ann Vibert, Carolyn M. Sheilds
2003· article· en· McGill Journal of Education / Revue des sciences de l'éducation de McGill· Social Sciences
machine prediction:candidate · noneconsensus · none
83
citations
aboutno affunlabeled
Scripts and Literacy
Insup Taylor, David R. Olson
2012· book· en· Medical Entomology and Zoology· Social Sciences
machine prediction:candidate · noneconsensus · none
53
citations
venueno affunlabeled
Tutoring Large Numbers: An Unmet Challenge
Helen Lentell, Jennifer O’Rourke
2004· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Mathematical learning and gesture
Susan Gerofsky
2010· article· en· Gesture· Social Sciences
machine prediction:candidate · noneconsensus · none
46
citations
venueno affunlabeled
Effective Classroom Management
Azlin Norhaini Mansor, Kim Eng Wong, Mohamad Sattar Rasul, Mohd Izham Mohd Hamzah, Aida Hanim A. Hamid
2012· article· en· International Education Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
42
citations
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