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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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The International Review of Research in Open and Distributed Learning
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Retraction
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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.

1,490 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.
1,490 works in the cohort · of 4,299,418page 6 of 30

Labels cover 4 of 1,490 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 1,490 of 1,490 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Social Presence in Massive Open Online Courses
Oleksandra Poquet, Vitomir Kovanović, P. de Vries, Thieme Hennis, Srécko Joksimovíc, Dragan Gašević +1 more
2018· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
76
citations
venueno affunlabeled
MOOCs and OER in the Global South: Problems and Potential
Monty King, Mark Pegrum, Martin Forsey
2018· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
74
citations
affvenueunlabeled
Head of gold, feet of clay: The online learning paradox
Thomas Michael Power, Anthony Morven-Gould
2011· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
distilled prediction:candidate · noneconsensus · none
71
citations
venueno affunlabeled
The Use of Social Media in E-Learning: A Metasynthesis
Ernest Mnkandla, Ansie Minnaar
2017· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
71
citations
venueno affunlabeled
Usability Evaluation of the Student Centered e-Learning Environment
Inas Sofiyah Junus, Harry Budi Santoso, R. Yugo Kartono Isal, Andika Yudha Utomo
2015· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
70
citations
venueno affunlabeled
Goal Setting and MOOC Completion
Erwin Handoko, Susie Gronseth, Sara McNeil, Curtis J. Bonk, Bernard Robin
2019· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
69
citations
venueno affunlabeled
Investigating MOOCs through blog mining
Yong Chen
2014· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
69
citations
venueno affunlabeled
Rethinking OER and their use: Open education as Bildung
Markus Deimann, Robert Farrow
2013· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
68
citations
venueno affunlabeled
Higher Education Faculty Perceptions of Open Textbook Adoption
Eulho Jung, Christine Bauer, Allan Heaps
2017· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
68
citations
venueno affunlabeled
The future of learning: From eLearning to mLearning
Murugan Krishnapillai
2004· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
68
citations
venueno affunlabeled
Grit and Intention: Why Do Learners Complete MOOCs?
Yuan Wang, Ryan S. Baker
2018· article· en· The International Review of Research in Open and Distributed Learning· Psychology
distilled prediction:candidate · insufficient_payloadconsensus · none
67
citations

How this was built: Screen · Findings · About