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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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Experimental Learning in Engineering
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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
aboutaboutness

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

892 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.
892 works in the cohort · of 4,299,418page 12 of 18

Labels cover 1 of 892 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 892 of 892 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueaboutno affunlabeled
TEACHING DESIGN IN AN UNDERGRADUATE HEAT TRANSFER COURSE
A. Dolatbadi, Rajat Dhiman, S. Chandra
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
3D Video Production in Education
Jay Wilson, Stefan Scott
2013· book-chapter· en· Advances in early childhood and K-12 education· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
How We Teach: Chemical Engineering Electives
Laura Ford, Janie Brennan, Heather Chenette, Jennifer Cole, Kevin Dahm, David Silverstein +1 more
2024· article· en· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Introducing Computer Programming With Lego Robotics
Stan Simmons, Karen Rudie, Michael Greenspan
2010· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
TEACHING WITH TECHNOLOGY IN ENGINEERING EDUCTION
Darlene Spracklin-Reid, Caroline Koenig, Suzanne Hurley, P.H. Phillips
2015· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Teaching differential equations online
Mario Lefebvre
2018· article· en· PolyPublie (École Polytechnique de Montréal)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affvenueaboutunlabeled
Multifunction Hardware Experimentation Laboratories
Khaled Arfa, G. Roy, G.-E. April
2013· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About