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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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Mathematics Education and Teaching Techniques
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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.

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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.

1,142 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.
1,142 works in the cohort · of 4,299,418page 14 of 23

Labels cover 1 of 1,142 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 1,142 of 1,142 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.

affno abstractunlabeled
A Touch of Malice
Joseph Agassi
2002· article· en· Philosophy of the Social Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
CERME7 Working Group 14: University mathematics education
Alejandro S. González-Martín, Ghislaine Gueudet, Paola Iannone, Elena Nardi, Carl Winsløw
2012· article· en· Research in Mathematics Education· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Area and Perimeter: Melon Farm
Rina Zazkis, Nathalie Sinclair, Peter Liljedahl
2012· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
How Much Water Is in the Skating Rink?
Jerry A. Ameis
2004· article· en· Mathematics Teaching in the Middle School· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Relearning Mathematics
2011· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Early algebra: Simplifying equations
Luis Radford
2022· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Stories on Problem-Solving Instruction
Boris Koichu, Rina Zazkis
2021· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Insegnare matematica come narrazione
Rina Zazkis, Peter Liljedahl
2024· article· it· Didattica della matematica Dalla ricerca alle pratiche d’aula· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Capitalising on mathematical moments
Wandile Hlaleleni
2011· article· en· Learning & teaching mathematics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Intégration des mathématiques et des sciences
Stéphane Cyr, Simon Langlois, Guillaume Poliquin, Patrick Charland
2020· book-chapter· fr· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About