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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
Evidence
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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 16 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.

affaboutno abstractunlabeled
Mathematics Teacher Education in Canada
Florence Glanfield, Christopher J. Charles
2021· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Questions Facing Mathematics Teacher Education
Christine Suurtamm, Mary Ann Huntley, Denisse R. Thompson
2021· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Empirical Exercise: The Dynamics of Knowing
Meghan Allerton
2015· article· en· The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Québec Bill Bonhomme
2018· article· fr· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Mathematics in a Multicultural Environment
Florence Glanfield, Anthony Fernandes, Jing Qin, Peter Kajoro
2024· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Typing math
George Grätzer
2007· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Disclaimer
2011· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Observing Teachers
David A. Reid
2020· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
School Mathematics
Dalene M Swanson
2004· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nested Noticing
2020· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduction
Denisse R. Thompson, Mary Ann Huntley, Christine Suurtamm
2024· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
“I Do That Too”
2020· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Evolution of the Task
Rina Zazkis, Nathalie Sinclair, Peter Liljedahl
2012· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About