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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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Race, History, and American Society
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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.

1,701 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.
1,701 works in the cohort · of 4,299,418page 5 of 35

Labels cover 0 of 1,701 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 1,701 of 1,701 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
The Racial Mosaic
Daniel R. Meister
2021· book· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Race Relations in New Britain
Yasmin Alibhai‐Brown
2000· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
People of the Underground Railroad
Tom Calarco
2008· book· en· Greenwood Publishing Group Inc. eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Can the Veil Be Cool?
Thorsten Botz–Bornstein
2013· article· en· Journal of Religion and Popular Culture· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
fundno affunlabeled
Martin Luther King, Jr.
John A. Kirk
2004· article· en· Journal of American Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affno abstractunlabeled
Racism, Misogyny, and the Othello Myth
Celia R. Daileader, Virginia Mason Vaughan
2007· article· en· Early Theatre· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Racism and Gay Men of Color
Sulaimon Gıwa
2022· book· en· Lexington Books· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Solomon Northup
D. Fiske, Clifford W. Brown, Rachel Seligman
2013· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
West Indian intellectuals in Britain
2018· book· en· Manchester University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
fundaboutno affunlabeled
Performing Postracialism
Philip S. S. Howard
2023· book· en· University of Toronto Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Justice Bertha Wilson
2010· book· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
The Power of Place and the Place of Power
John Gaventa
2018· book-chapter· en· University Press of Kentucky eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Decolonizing Discipline
2020· book· en· University of Manitoba Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About