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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
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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.

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 19 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Computer science-Ph.d statistics
David Gries, Gregory Andrews
2003· article· en· Encyclopedia of Computer Science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
AI Literacy Through a Project-Based Learning Course
M. Ho, Carly Orr, Rebecca Jeon, Michael Pin-Chuan Lin, Jeeho Ryoo
2025· article· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+research_integrityconsensus · none
0
citations
affunlabeled
spy3: A Python Subset for CS1
John Aycock
2023· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Working Group Proposal: Computing Education in Africa
Sally Hamouda, Linda Marshall, Kate Sanders, Ethel Tshukudu, Oluwatoyin Adelakun-Adeyemo, Brett A. Becker +6 more
2024· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Question Design Using NLP
Alassane Mamadou Diop, Arnaud Zinflou, Elhadji Mamadou Nguer
2025· book-chapter· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
What Is AI? The Need for AI Literacy in Education
Lesley Wilton, Clare Brett, Stephen Ip, Rutwa Engineer, Athena Tassis
2025· book-chapter· en· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
Who drops CS1? (abstract only)
Diane Horton, Michelle Craig
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
AI Education and Design Fiction
2025· article· en· Scholarship@Western (Western University)· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Fun With Arduinos—Part 1
R. S. Saunders
2014· article· en· Journal of the Royal Astronomical Society of Canada· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About