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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.

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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 15 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. 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.

venueno affunlabeled
Value of Open Microcredentials to Earners and Issuers
Danny Young, Richard E. West, Travis Ann Nylin
2019· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affvenueunlabeled
Identity and the itinerant online learner
Marguerite Koole
2014· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
22
citations
venueno affunlabeled
An OER architecture framework: Need and design
Pankaj Khanna, P C Basak
2013· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
22
citations
affvenueunlabeled
Editorial
George Siemens, Gráinne Conole
2011· editorial· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
22
citations
affvenueunlabeled
Best Practices in Synchronous Conferencing Moderation
Lynn Anderson, Barb Fyvie, Brenda Koritko, Kathy McCarthy, Sonia Murillo Paz, Mary Rizzuto +2 more
2006· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
21
citations
venueno affunlabeled
Experience with a Massive Open Online Course in Rural Rwanda
Christine Warugaba, Brienna Naughton, Bethany Hedt Gauthier, Ernest Muhirwa, Cheryl Amoroso
2016· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affvenueunlabeled
Investigating Triggers in CMC Text Transcripts
Krista Poscente, Patrick J. Fahy
2003· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
21
citations
venueno affunlabeled
Analysis of Success Indicators in Online Learning
Ermira Idrizi, Sonja Filiposka, Vladimir Trajkovijk
2021· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
venueno affunlabeled
USQ: An e-University for an e-World
James C. Taylor, Peter Swannell
2001· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affvenueunlabeled
The Emergence of Open-Source Software in North America
Guohua Pan, Curtis J. Bonk
2007· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
20
citations

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