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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 9 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. 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
ONLINE EDUCATION – ENGINEERING STUDENTS’ PERSPECTIVE
Gérard J. Poitras, Gabriel Cormier, Eric Poitras
2021· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Hands-On Experimentation in the Fluid Mechanics Classroom as Homework With eFluids.com
Elisabeth Dwyer, Sivaram Gogineni, Alexander J. Smits, Ron J. Adrian, Stavros Tavoularis, Chris Rogers
2004· article· en· Innovations in Engineering Education: Mechanical Engineering Education, Mechanical Engineering/Mechanical Engineering Technology Department Heads· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Network-Based Approach to Assessment of Cognitive Skills
Natalie Simper, Brian Frank, Nerissa Mulligan
2018· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Online Laboratory Education
Simon P. Albon, Devon A. Cancilla
2011· book-chapter· en· IGI Global eBooks· 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
aboutno affunlabeled
Traffic Engineering in a Hybrid Format
Anurag Pande, Joe Grimes
2011· article· en· Transportation Research Record Journal of the Transportation Research Board· Engineering
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About