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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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Proceedings of the Canadian Engineering Education Association (CEEA)
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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.

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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.

2,158 results · 1 filter active ·
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20102025
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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.
2,158 works in the cohort · of 4,299,418page 22 of 44

Labels cover 2 of 2,158 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 2,158 of 2,158 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.

affvenueunlabeled
RE-DESIGNING THE LIBRARY FOR DESIGN ENGINEERING
Sharon Murphy, Nasser Saleh
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
UNDERSTANDING THE LITERATURE ON PROBLEM ANALYSIS
Alex C. Huynh, Susan McCahan
2015· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
A MODULE FOR TEACHING RISK MANAGEMENT
K. Godri-Politt, Graeme W. Norval
2015· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Chemical Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
fundvenueno affunlabeled
A NEW APPROACH TO THE UNIT OPERATIONS LABORATORY
Graeme W. Norval, Paul Szabo, Glenn D. Wilson, Paul Jowlabar
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
Efficacy of Virtual Equipment Training
Justine Boudreau, David Nku, Hanan Anis
2022· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Team-forming and its Impact in First Year Engineering
Andrew Trivett, Chayantika Roy, Y. Sewlani
2015· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Building Indicators by Consensus for Common Attributes
Rania Al-Hammoud, Jason Grove, Andrew J. Milne, Mehrdad Pirnia, Derek Wright, Samanthi Sooriyabandara
2018· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About