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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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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.

980 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 1 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.

afffundunlabeled
GeneyTM
2001· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
129
citations
afffundno abstractunlabeled
A Review of Serious Games for Programming
2018· review· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
83
citations
afffundunlabeled
Can You Teach Me To Machine Learn?
2019· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
80
citations
afffundunlabeled
RoboBUG
2017· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
78
citations
affunlabeled
CS girls rock
2003· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
67
citations
affaboutunlabeled
A pedagogical model for STEAM education
2022· article· en· Journal of Research in Innovative Teaching & Learning· Computer Science
distilled prediction:candidate · metaresearch+sts+research_integrityconsensus · none
60
citations
affvenueunlabeled
Maker pedagogy and science teacher education
2015· article· en· Journal of the Canadian Association for Curriculum Studies· Computer Science
distilled prediction:candidate · noneconsensus · none
57
citations
affunlabeled
Drop, Fail, Pass, Continue
2015· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
50
citations
affunlabeled
Programming in K-12 science classrooms
2015· article· en· Communications of the ACM· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
49
citations
aboutno affunlabeled
What We Say vs. What They Do
2017· article· en· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
46
citations
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