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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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Educational Tools and 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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venuejournal
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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.

393 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
393 works in the cohort · of 4,299,418page 6 of 8

Labels cover 5 of 393 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 393 of 393 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.

aboutno affunlabeled
Virtual High School (Ontario)
John Smallwood, Jennifer Reaburn, Stephen Baker
2023· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Fair space
Jacoba Johanna van Everdingen-Bongers
2025· dissertation· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Pédagogie par projet
François Thibault, Patrice Potvin
2020· book-chapter· fr· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
GN5-1 D6.1 Network eAcademy
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
L'évaluation en formation hybride
2020· article· fr· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
CJAR is on Twitter
Marianne Barker
2019· article· en· The Canadian Journal of Action Research· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
The Use of Visual Evidence for Planning and Argumentation.
Rebecca Cober, Alisa Acosta, Michelle Lui, Tom Moher, Alex Kuhn, Chris Quintana +1 more
2015· article· en· Computer Supported Collaborative Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Interdit de rire
Jean-Pierre April
2021· article· fr· Les écrits· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Living Systems in the Classroom.
Mark Keffer
2002· article· en· Green teacher· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Distance education in Quebec colleges
Sawsen Lakhal
2016· article· en· Canadian Society for the Study of Higher Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
OLD DOGS LEARN NEW (E-) TRICKS
Wendy Quarry, Ricardo Ramirez
2009· article· en· Glocal times· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About