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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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Historical Studies and Socio-cultural Analysis
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

6,793 results · 1 filter active ·
Results by year
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.
6,793 works in the cohort · of 4,299,418page 103 of 136

Labels cover 17 of 6,793 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 6,793 of 6,793 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.

aboutno affunlabeled
Berenson
Frederik Prausnitz
2002· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
New France circa 1740
2010· report· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The French Atlantic World
Alan Forrest
2020· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Setting the Standard
Kimberly A. White
2020· reference-entry· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Growing a Patent Culture
S. Tina Piper
2014· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Disability History: Introduction
Sara Scalenghe, Geoffrey Reaume
2023· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Domat, Jean
David Gilles
2022· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Arun Bala, Raymond W. K. Lau, Jianjun Mei
2024· book-chapter· en· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
French Social Science History
2014· book-chapter· en· Arts and Humanities
machine prediction:candidate · stsconsensus · none
0
citations
aboutno affunlabeled
The Great Inland Sea
Donald Harman Akenson
2023· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
About the Author
Frederick Vettese
2015· other· en· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Sedan
Geoffrey Wawro
2003· book-chapter· en· Cambridge University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
French Social Science History
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Arts and Humanities
machine prediction:candidate · stsconsensus · none
0
citations

How this was built: Screen · Findings · About