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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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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.

affaffiliation
fundfunder
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.

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 46 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. 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
ThinkClick
Hanan Yaniv, Susan Crichton
2008· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Inquisitivism
Dwayne Harapnuik
2006· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Traditional and Online Forms of Education: Proposing a Common Ground
Tolulope Adesope, Olusola Adesope, Caroline Ojeme
2008· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
7. The Invitational HELIX
William Watson Purkey, John M. Novak
2010· article· en· Journal of Invitational Theory and Practice· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Comment: the coming tornado?
Ray McAleese
2011· article· en· Research in Learning Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Assessing Online Dialogue in Higher Education
Eva Mary Bures, Philip C. Abrami, Alexandra Barclay
2010· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Use of videoconferencing in a veterinary curriculum
Michael H. Sims, Nancy Howell, Babbet Harbison
2007· article· en· Journal of Veterinary Medical Education· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Blending Pedagogies in Higher Education
Immaculate Kizito Namukasa
2021· article· en· The Open/Technology in Education Society and Scholarship Association Conference· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Researching K-12 Online Learning
Michael K. Barbour
2010· article· en· Distance Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Teaching with Technology
Jeff Webb
2001· article· en· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Authoring Virtual Peer Interactions for Lecture Videos
Thitaree Tanprasert, Sidney Fels, Luanne Sinnamon, Dongwook Yoon
2022· article· en· CHI Conference on Human Factors in Computing Systems Extended Abstracts· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About