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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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Canadian Journal of Learning and Technology
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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.

653 results · 1 filter active ·
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20022025
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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.
653 works in the cohort · of 4,299,418page 2 of 14

Labels cover 4 of 653 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 653 of 653 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.

venueno affno abstractunlabeled
Professional Learning in a Digital Age
Charmaine Brooks, Susan E. Gibson
2012· article· en· Canadian Journal of Learning and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
33
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
affvenueunlabeled
Using video in teacher education
Jo Towers
2007· article· en· Canadian Journal of Learning and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
26
citations
affvenueunlabeled
Partnerships for Knowledge Building: An Emerging Model
Thérèse Laferrière, Mireia Montané, Begoña Gros Salvat, Isabel Álvarez, Mercè Bernaus, Alain Breuleux +3 more
2010· article· en· Canadian Journal of Learning and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
25
citations
venueno affunlabeled
Planning for Integrating Teaching Technologies
Mandie Aaron, D. R. Dicks, Cindy Ives, Brenda Montgomery
2004· article· en· Canadian Journal of Learning and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
venueno affunlabeled
Instructional Technology and Objectification
Bekir S. Gür, David Wiley
2008· article· en· Canadian Journal of Learning and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About