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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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Online and Blended Learning
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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.

3,545 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.
3,545 works in the cohort · of 4,299,418page 10 of 71

Labels cover 14 of 3,545 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 3,545 of 3,545 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Online Course Design
Sally Baldwin, Yu‐Hui Ching
2019· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
distilled prediction:candidate · noneconsensus · none
38
citations
venueno affunlabeled
Beauty Lies in the Eye of the Beholder
Judith Calder
2000· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
distilled prediction:candidate · noneconsensus · none
37
citations
affvenueaboutgemma · no categorygpt · no categorymodels split
The Role of Digital Technologies in Learning: Expectations of First Year University Students / Le rôle des technologies numériques dans l’apprentissage : les attentes des étudiants de première année universitaire
Martha A. Gabriel, Barbara Campbell, Sean Wiebe, Ronald J. MacDonald, A. McAuley
2012· article· en· Canadian Journal of Learning and Technology· Social Sciences
distilled prediction:candidate · noneconsensus · none
36
citations
affaboutunlabeled
Role Adjustment for Learners in an Online Community of Inquiry
Martha Cleveland‐Innes, D. Randy Garrison, Ellen Kinsel
2007· article· en· International Journal of Web-Based Learning and Teaching Technologies· Social Sciences
distilled prediction:candidate · noneconsensus · none
35
citations
affvenueunlabeled
Re-organizing Universities for the Information Age
David Annand
2007· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
distilled prediction:candidate · noneconsensus · none
35
citations
venueno affno abstractunlabeled
Key Issues in E-learning: Research and Practice
Whitney Alicia Zimmerman
2011· article· en· International journal of e-learning & distance education· Social Sciences
distilled prediction:candidate · metaresearchconsensus · none
34
citations
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