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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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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,694 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.
1,694 works in the cohort · of 4,299,418page 13 of 34

Labels cover 10 of 1,694 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 1,694 of 1,694 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundvenueunlabeled
OXREF: Open XR for Education Framework
Ishan Sudeera Abeywardena
2023· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Case Study as a Research Method for Analyzing MOOCs
Ramón Montes-Rodríguez, Juan Bautista Martínez-Rodríguez, Almudena Ocaña-Fernández
2019· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
8
citations
affvenueunlabeled
TOWARDS THE HCI LIVING CURRICULUM
Andrea Jovanovic, Olivier St-Cyr, Mark Chignell
2018· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Developing marking support within Eclipse
Del Myers, Elizabeth Hargreaves, Jody Ryall, Suzanne Thompson, M. Loring Burgess, Daniel M. Germán +1 more
2004· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Learning Analytics for Networked Learning Models
Srécko Joksimovíc, Dragan Gašević, Marek Hatala
2014· article· en· Journal of Learning Analytics· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
7
citations
affno abstractunlabeled
Challenges and Solutions in Smart Learning
Maiga Chang, Elvira Popescu, Kinshuk Kinshuk, Nian‐Shing Chen, Mohamed Jemni, Ronghuai Huang +1 more
2018· book· en· Lecture notes in educational technology· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Resilience and Future of Smart Learning
Junfeng Yang, Dejian Liu, Ahmed Tlili, Maiga Chang, Elvira Popescu, Daniel Burgos +1 more
2022· book· en· Lecture notes in educational technology· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About