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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
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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.

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 30 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.

affaboutunlabeled
A Journey Through the Development of Online Environments
Christopher Ostrowski, Jennifer Lock, S. Laurie Hill, Luciano da Rosa dos Santos, Noha Altowairiki, Carol Johnson
2016· book-chapter· en· Advances in higher education and professional development book series· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Online Study Groups: Comparison of Two Strategies
Genevieve Johnson, Julia Johnson
2005· article· en· EdMedia: World Conference on Educational Media and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Web-Based Learning as a Tool of Knowledge Continuity
Saiful Hafizah Jaaman, Rokiah Rozita Ahmad, Azmin Sham Rambely
2013· article· en· International Education Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Using Computers and Software in the Classroom
Dorian Stoilescu
2005· article· en· EdMedia: World Conference on Educational Media and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Teaching Learning for Educational Change
Stewart Hase
2006· article· en· Complicity An International Journal of Complexity and Education· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Canadian Academic Librarians as Online Teachers
Heather McTavish, Lorayne Robertson
2020· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
P-learning’s unwelcome legacy
Jon Dron
2016· article· en· AUSpace (Athabasca University)· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Newer Theories for Digital Learning Spaces
Stephen M. Downes
2022· book-chapter· en· Handbook of Open, Distance and Digital Education· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
La gestion des tuteurs en ligne, pour un tutorat de qualité
Nicole Racette, Guillaume Desjardins, Marie-Pierre Bourdages-Sylvain, Martin Houle
2019· article· fr· Revue internationale des technologies en pédagogie universitaire· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About