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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 12 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.

venueno affunlabeled
Making Good Use of Textbooks
Scott Roberts
2022· article· en· Annals of Social Studies Education Research for Teachers· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
OER-based Online Micro-courses
Rory McGreal, Wayne Mackintosh, Dave Lane
2023· article· en· Journal of Open Flexible and Distance Learning· Computer Science
machine prediction:candidate · open_scienceconsensus · none
1
citations
fundno affunlabeled
How to Use Google Forms: A Step-By-Step Guide.
Sarah Elaine Eaton
2011· article· en· PRISM (University of Calgary)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
fundaboutno affunlabeled
OER by Discipline Guide: University of Calgary
2022· book· en· University of Calgary eBooks· Computer Science
machine prediction:candidate · scholarly_communication+open_science+insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Virtual platforms at Athabasca University
Rory McGreal, Jon Dron, Evelyn Ellerman
2012· article· en· AUSpace (Athabasca University)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Open Educational Resources
Monica Mora
2007· article· en· ˜The œopen source business resource· Computer Science
machine prediction:candidate · open_science+insufficient_payloadconsensus · none
1
citations
affunlabeled
Development of KABISA
Jef Van den Ende, Stefano Laganà, K Blot, Zeno Bisoffi, E Van den Enden, Louis Vermeulen
2005· article· en· Journal of Cases on Information Technology· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Chinese Open Universities
Xiaobin Li
2015· article· en· International Journal of Information and Communication Technology Education· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
From Knowledge Management System to E-Learning Tool
Tang-Ho Lê, Chadia Moghrabi, John Tivendell, Johanne Hachey, Jean Roy
2005· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Creating OER materials - Perspectives of Global Instructors
Nathaniel Ostashewski, Serena Henderson
2017· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · open_scienceconsensus · none
1
citations

How this was built: Screen · Findings · About