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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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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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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 20 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.

affvenueunlabeled
The Emergence of Open-Source Software in China
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
12
citations
venueno affunlabeled
E-learning in Mongolian Higher Education
Suvdmaa Tuul, Otgontugs Banzragch, Tsogzolmaa Saizmaa
2016· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
venueno affunlabeled
SCOPE of Open Education: A New Framework for Research
Virginia Clinton‐Lisell, Jasmine Roberts-Crews, Lindsey Gwozdz
2023· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
11
citations
affvenueaboutunlabeled
Eight Patterns of Open Textbook Adoption in British Columbia
Jennifer Barker, Ken Jeffery, Rajiv S. Jhangiani, George Veletsianos
2018· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
11
citations
venueno affunlabeled
Development of Open Textbooks Learning Analytics System
Deepak Prasad, Rajneel Totaram, Tsuyoshi Usagawa
2016· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Empire State College: The Development of Online Learning
Patricia J. Lefor, Meg Benke, Evelyn Ting
2001· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
A Tour of Open Universities Through Literature
Francisco Javier Hinojo Lucena, Inmaculada Aznar Díaz, María Pilar Cáceres Reche, José María Romero Rodríguez
2019· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Challenges of Offering a MOOC from an LMIC
Aamna Pasha, Syed Hani Abidi, Syed Ali
2016· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Language of evaluation: How PLA evaluators write about student learning
Nan L. Travers, Bernard Smith, Leslie Ellis, Tom Brady, Liza Feldman, Kameylah Hakim +4 more
2011· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Digital Immigrants in Distance Education
Roberto Salazar-Márquez
2017· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
venueno affunlabeled
Odyssey of the mind: Social networking in a cyberschool
Michael K. Barbour, Cory Plough
2012· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations

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