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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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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
fundfunder
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 12 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.

fundno affunlabeled
Introductory Computer Science Course by Adopting Many Programming Languages
Francisco de Assis Zampirolli, Fernando Teubl, Guiou Kobayashi, Rogério Neves, Luiz C. S. Rozante, Valério Ramos Batista
2021· article· en· Anais do XXXII Simpósio Brasileiro de Informática na Educação (SBIE 2021)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
The Number-Pad Game
Alex Fink, Richard K. Guy
2007· article· en· College Mathematics Journal· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
The Marriage of Mathematics and Programming
Bernardo Martins Ferreira, Lucas Romano Oliveira de Souza, Laira das Almas Silva, Igor Moreira Félix, Leônidas de Oliveira Brandão, Anarosa A. F. Brandão
2019· article· pt· Anais do XXX Simpósio Brasileiro de Informática na Educação (SBIE 2019)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Computational Thinking and Mathematics
Laura Broley, Chantal Buteau, Simon Modeste, Maryna Rafalska, Max Stephens
2023· book-chapter· en· Springer international handbooks of education· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
My Code in My Native Tone
Nova Ahmed, Arman Kamal, Adnan Nuruddin, Syed Tanveer Jishan
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The elephant in the room
Rebeca Roe Dunn-Krahn, Yvonne Coady
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Educational Escape Room – Challenges and Obstacles
Michał Mijal, Martyna Cieśla, Monika Gromadzka
2021· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Spot the Learning
Leanne Wu
2019· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affvenueunlabeled
Focusing the library on the reader
Elizabeth A. Lee
2021· article· en· IASL Annual Conference Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Transforming Arithmetic Through Digital Resources
Oi‐Lam Ng, Nathalie Sinclair, Francesca Ferrara, Biyao Liang
2023· book-chapter· en· Springer international handbooks of education· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About