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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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Engineering Education and Curriculum Development
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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.

1,202 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.
1,202 works in the cohort · of 4,299,418page 5 of 25

Labels cover 3 of 1,202 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 1,202 of 1,202 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.

affvenueaboutunlabeled
External Assessment of Engineering Programs
Ken Ferens
2012· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · metaresearchconsensus · none
5
citations
affvenueaboutunlabeled
Employing Co-op Employer Evaluations to Assess Outcomes
Wayne J. Parker, Rocco Fondacaro, Oscar Nespoli
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
IMPLEMENTING EXPERIENTIAL EDUCATION ON ENGINEERING AND SOCIETY
Matthew Harsh, Brandiff Caron, Deborah Dysart‐Gale, Govind Gopakumar, Ketra Schmitt
2015· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
afffundvenueunlabeled
EVOLUTION OF THE DESIGN ENGINEERING MENTORSHIP PROGRAM
Kush Bubbar, Alexandros Dimopolous, Roslyn Gaetz, Peter Wild, Michael McWilliam
2017· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
ASSESSING AND DEVELOPING THE INDIVIDUAL AND TEAM WORK ATTRIBUTE
Genevieve Hoffart, Katherine Gibbard, Tom O’Neill, Anders Nygren, William Rosehart
2017· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
SURVEYS FOR SIMULTANEOUS DIRECT AND INDIRECT ASSESSMENT
Derek Wright, Emma Markoff, Jason Grove, Rania Al-Hammoud, Andrew J. Milne, Mehrdad Pirnia
2018· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
SUSTAINABILITY IN ENGINEERING DESIGN
Amy Hsiao
2019· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
EFFECTIVELY ASSESSING PROFESSIONAL ENGINEERING SKILLS
David S. Strong, Sue Fostaty Young
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About