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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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Educational Technology Research and Development
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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.

69 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.
69 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 69 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 69 of 69 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.

affno abstractunlabeled
Designing effective instruction
Linda Lohr, Eugene Kowch
2004· article· en· Educational Technology Research and Development· Psychology
machine prediction:candidate · noneconsensus · none
747
citations
afffundno abstractunlabeled
A model for social presence in online classrooms
Chun‐Wang Wei, Nian‐Shing Chen, Kinshuk Kinshuk
2012· article· en· Educational Technology Research and Development· Social Sciences
machine prediction:candidate · noneconsensus · none
282
citations
affno abstractunlabeled
Knowledge management support for teachers
John M. Carroll, Chun Wei Choo, Daniel Dunlap, Philip L. Isenhour, Stephen T. Kerr, Allan MacLean +1 more
2003· article· en· Educational Technology Research and Development· Social Sciences
machine prediction:candidate · noneconsensus · none
112
citations
affno abstractunlabeled
Use of Felder and Silverman learning style model for online course design
Moushir M. El-Bishouty, Ahmed Aldraiweesh, Uthman Alturki, Richard A. W. Tortorella, Junfeng Yang, Ting‐Wen Chang +2 more
2018· article· en· Educational Technology Research and Development· Psychology
machine prediction:candidate · noneconsensus · none
106
citations
affno abstractunlabeled
Learning in digital environments: a model for cross-cultural alignment
Miri Shonfeld, Megan Cotnam-Kappel, Miriam Judge, Carolyn Ng, Jean Gabin Ntebutse, Sandra Williamson-Leadley +1 more
2021· article· en· Educational Technology Research and Development· Computer Science
machine prediction:candidate · noneconsensus · none
89
citations
affno abstractunlabeled
Developing a quality curriculum in a technological era
Peter Twining, Deirdre Butler, Petra Fisser, Margaret Leahy, Chris Shelton, Nadine Forget‐Dubois +1 more
2020· article· en· Educational Technology Research and Development· Social Sciences
machine prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Using technology in special education: current practices and trends
Oluwabunmi Adewoyin Olakanmi, Gökçe Akçayır, Oluwbukola Mayowa Ishola, Carrie Demmans Epp
2020· article· en· Educational Technology Research and Development· Health Professions
machine prediction:candidate · noneconsensus · none
41
citations

How this was built: Screen · Findings · About