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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.

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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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Teaching and Learning Programming
Retraction
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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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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.

980 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.
980 works in the cohort · of 4,299,418page 17 of 20

Labels cover 2 of 980 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 980 of 980 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.

aboutno affunlabeled
Building a Community Robotics Pipeline
Jerry Ryan David Gustafson
2025· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Retention in Computer Science Course
Maria Chowdhury, LillAnne Jackson, Andreas Bergen
2010· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Programming Language Learning in K-12 Education
Eric Poitras, Brent Crane, David Dempsey, Angela A. Siegel, Christine Farion
2024· book-chapter· en· Advances in educational technologies and instructional design book series· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Basic Physical Design and Query Plans
David Toman, Grant Weddell
2011· book-chapter· en· Synthesis lectures on data management· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Quantum Tango
Ernest Edmonds
2025· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Designer sense-response systems
Roberto A. Chica
2019· letter· en· Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Learning Code using Lego Robotics
Adam Thomas, George Paravantes
2018· article· en· Journal of innovation in polytechnic education.· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Dynamic Decision-Making Model
Marlo Steed
2022· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The 2024 Computer Olympiad
H. Iida, J. Schaeffer, I-Chen Wu
2024· article· en· ICGA Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Catalog of Misconceptions in Pharo
Sté́phane Ducasse, Christopher Fuhrman
2024· report· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
British Columbia-yukon
2000· article· en· Digital Commons - University of South Florida (University of South Florida)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Enhance Student Learning with Simulations
April Robbs, Jason Williams, Suzan Rhoades
2019· article· en· ScholarSpace (University of Hawaii at Manoa)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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