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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.

affaffiliation
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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 16 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.

venueno affunlabeled
TRAINING PROGRAM IN ENGINEERING DESIGN FOR GRADUATE TEACHING ASSITANTS
Flavio Firmani, Michael McWilliam, Peter Wild, Michael McGuire, Nikolai Dechev, Colin Bradley
2013· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Do Engineering – Anywhere, Anytime
Mark Walters, Erik Luther, Julia Dinolfo
2012· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
The Role of Biology in an Engineering Program
Danny Mann
2012· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
STUDENT DESIGN TEAMS AT UWO: A CASE STUDY
Ralph O. Buchal, Imran Atcha, Alberto Da Rocha, Robert Jelenic, Peter Kriznic
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Impact of Educational Interventions on an Engineering Faculty
Brian Frank, Deena Salem, E. Tremblay, Shuling Zhao, Nerissa Mulligan, B. Cai
2019· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Educating Engineering Students in the Arts
Ken Tallman
2013· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
afffundvenueaboutunlabeled
THE ROLE OF MAKERSPACES IN INCLUSIVITY IN ENGINEERING
Justine Boudreau Boudreau, Hanan Anis
2019· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · stsconsensus · none
2
citations
afffundvenueaboutunlabeled
CLIENT-BASED CORNERSTONE DESIGN PROJECTS
Justine Boudreau, Hanan Anis
2019· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
afffundvenueaboutunlabeled
TEACHING AN ADVANCED ENGINEERING MOOC: LESSONS LEARNED
Jeffrey Harris, William Heikoop, Allison Van Beek, James S. Wallace
2015· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
APPROACHES THAT HELP STUDENTS GENERATE NEW DESIGN SOLUTIONS
Yong Zeng, Shengji Yao, Michel F. Couturier, Frank S. Collins
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About