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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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Open Education and E-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.

1,060 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.
1,060 works in the cohort · of 4,299,418page 3 of 22

Labels cover 10 of 1,060 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 1,060 of 1,060 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
Construction of New Medicines via Game Proof Search
Abraham Heifets, Igor Jurišica
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
39
citations
venueno affunlabeled
Teaching and Learning Without a Textbook
Lin Hong
2019· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
venueno affunlabeled
Examining the reuse of open textbooks
John Hilton, Neil Lutz, David Wiley
2012· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
37
citations
venueno affunlabeled
Identifying Student Perceptions of Different Instantiations of Open Pedagogy
John Hilton, Bryson Hilton, Tarah K. Ikahihifo, Reta Chaffee, Jennifer J. Darrow, JoAnn Guilmett +1 more
2020· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
34
citations
affno abstractunlabeled
New Models of Open and Distributed Learning
Stephen Downes
2016· book-chapter· en· Lecture notes in educational technology· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
afffundvenueaboutunlabeled
Open Educational Resources in Canada 2015
Rory McGreal, Terry Anderson, Dianne Conrad
2015· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
29
citations
venueno affunlabeled
Influencing factors in OER usage of adult learners in Korea
Byoungwook Kim, Won Gyu Lee, Byeong Rae Lee, Jin Gon Shon
2015· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
28
citations
affno abstractunlabeled
Designing online mathematical investigation
George Gadanidis, Kamran Sedig, Hai‐Ning Liang
2004· article· en· Journal of Computers in Mathematics and Science Teaching· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Content based technology: learning by modeling
Leslee Francis-Pelton, Pierce Farragher, Ted Riecken
2000· article· en· Journal of Technology and Teacher Education archive· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
venueno affunlabeled
On the Efficacy of Open Educational Resources
Huimei Delgado, Michael S. Delgado, John Hilton
2019· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
26
citations

How this was built: Screen · Findings · About