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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
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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.

1,060 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.
1,060 works in the cohort · of 4,299,418page 2 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
Towards flexible learning object metadata
Christopher Brooks, Gord McCalla
2006· article· en· International Journal of Continuing Engineering Education and Life-Long Learning· Computer Science
machine prediction:candidate · noneconsensus · none
63
citations
venueno affunlabeled
Online Education Using Learning Objects
Sanjaya Mishra
2005· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
62
citations
aboutno affunlabeled
From Open Educational Resources to Open Educational Practices
Ebba Ossiannilsson, Xiangyang Zhang, Jennryn Wetzler, Cristine Martins Gomes de Gusmão, Cengiz Hakan Aydın, Rajiv S. Jhangiani +3 more
2020· article· fr· Distances et médiations des savoirs· Computer Science
machine prediction:candidate · open_scienceconsensus · none
62
citations
venueno affunlabeled
A bibliometric mapping of open educational resources
Airton Zancanaro, José Leomar Todesco, Fernando Ramos
2015· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
61
citations
venueno affunlabeled
Uptake of OER by staff in distance education in South Africa
Kerry De Hart, Yuraisha Chetty, Elizabeth Archer
2015· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
54
citations
affvenueno abstractunlabeled
e-Learning 2.0
Stephen Downes
2005· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
affno abstractunlabeled
Open Education: from OERs to MOOCs
2016· book· en· Lecture notes in educational technology· Computer Science
machine prediction:candidate · open_scienceconsensus · none
52
citations
venueno affunlabeled
Incentives and Disincentives for the Use of OpenCourseWare
Anne Arendt, Brett E. Shelton
2009· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
48
citations
venueno affunlabeled
Open Textbook Proof-of-Concept via Connexions
J. Howard Baker, Joel Thierstein, Kathi Fletcher, Manpreet Kaur, Jonathan Emmons
2009· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
47
citations
affunlabeled
E-Learning meets the Social Semantic Web
Carlo Torniai, Jelena Jovanović, Dragan Gasevic, Scott Bateman, Marek Hatala
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations
venueno affunlabeled
What Is Open Pedagogy? Identifying Commonalities
Phil Tietjen, Tutaleni I. Asino
2021· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
43
citations
venueno affunlabeled
CanCore: Metadata for Learning Objects
Norm Friesen, Anthony Roberts, Sue Fisher
2002· article· en· Canadian Journal of Learning and Technology· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
42
citations
venueno affunlabeled
Student Perceptions of College Faculty Who Use OER
Gabrielle Vojtech, Judy Orton Grissett
2017· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
41
citations
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

How this was built: Screen · Findings · About