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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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Canadian Identity and History
Retraction
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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.

41,706 results · 1 filter active ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
41,706 works in the cohort · of 4,299,418page 210 of 835

Labels cover 82 of 41,706 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 41,706 of 41,706 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
Mapmaker
Barbara Mitchell
2017· book· uk· University of Regina Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Vimy the battle and the legend
2017· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
This Great National Object
Roberta M. Styran, Robert R. Taylor
2012· book· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Canadian legal history
Larry Peck
2016· article· en· Books | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
"Edmonton is Fun, After All"
George Lang
2009· article· en· Canadian review of comparative literature· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Newfoundland and Labrador
Melvin Baker, J. Peter Neary
2010· book-chapter· en· University of Toronto Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Le territoire de la chanson québécoise
Gilles Perron
2009· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Bread of the Strong
Jack Lee Downey
2015· book· en· Fordham University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
L’antiféminisme d’État
Aurélie Fillod-Chabaud
2018· article· fr· GLAD!· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affno abstractunlabeled
ROUNDTABLE: BLACKENING CANADA
Sharon Morgan Beckford
2016· article· en· TOPIA Canadian Journal of Cultural Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Winnipeg on the Hudson
James Trainor
2003· article· en· Border crossings: a magazine for the arts· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affno abstractunlabeled
Metis Music and the Settler Imagination
Monique Giroux
2017· article· en· Canadian Folk Music / Musique folklorique canadienne· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About