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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.

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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
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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 8 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affvenueunlabeled
LinkedIn Learning Product Review
2019· article· fr· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+scholarly_communication+research_integrity+insufficient_payloadconsensus · none
5
citations
affno abstractunlabeled
Knowledge and community in mathematics
Jonathan M. Borwein, Terry Stanway
2005· article· en· The Mathematical Intelligencer· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
aboutno affunlabeled
Learning objects lost in the network
Joanna Wójcik, Małgorzata Rataj
2020· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
affaboutunlabeled
Multi-lingual information access tools
Peggy Nzomo, Victoria L. Rubin, Isola Ajiferuke
2012· article· en· Proceedings of the 2012 iConference· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
Interactive E-Texts and Students: A Scoping Review.
Rebecca Spencer, Emilie Comeau, Brittany A Matchett, Maya Biderman, Phillip Joy, Nicole Doria +1 more
2020· article· en· Canadian Journal of Education / Revue canadienne de l éducation· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
CARL Library Impact Framework
Mark Robertson
2024· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · scholarly_communication
5
citations
affunlabeled
Reuse of e-learning personalization components
Sameh Ghallabi, Fathi Essalmi, Mohamed Jemni, Kinshuk Kinshuk
2022· article· en· Smart Learning Environments· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Optimal Composition of e-Learning Personalization Resources
Sameh Ghallabi, Fathi Essalmi, Mohamed Jemni, Kinshuk Kinshuk
2015· book-chapter· en· Lecture notes in educational technology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affvenueunlabeled
A blended approach for search of learning objects
Hamidreza Baghi, Yevgen Biletskiy, Howard Li
2008· article· en· Conference proceedings - Canadian Conference on Electrical and Computer Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affvenueunlabeled
International E-learning Specifications
Norm Friesen, Rory McGreal
2002· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
4
citations
affno abstractunlabeled
A Rule-Based Recommender System to Suggest Learning Tasks
Hazra Imran, Mohammad Belghis-Zadeh, Ting‐Wen Chang, Kinshuk Kinshuk, Sabine Graf
2014· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
4
citations
aboutno affunlabeled
Open educational resources in Malaysia
Ishan Sudeera Abeywardena, Gajaraj Dhanarajan, Choo-Khai Lim
2013· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
4
citations
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