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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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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 102 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
Acadiens de la Baie francaise
Marc Adélard Tremblay
2004· book· fr· Classiques des sciences sociales.· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
“Milking” the Consumer?
Andrew Ebejer
2019· article· en· Ontario History· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affno abstractunlabeled
Women in the Quebec National Assembly: Why So Many?
Manon Tremblay, Stephanie Mullen
2010· book-chapter· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
The Education of a Canadian
H. Gordon Skilling
2000· book· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
GOING THEIR OWN WAY
Mary Vipond
2009· article· en· Media History· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affno abstractunlabeled
Feminist Influence on Ontario Schools
Jean Hewitt
2018· book-chapter· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Transatlantic Upper Canada
Kevin Hutchings
2020· book· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affno abstractunlabeled
The Empire Project: Trade Policy in Interwar Canada
Markus Lampe, Kevin O’Rourke, Lorenz Reiter, Yoto V. Yotov
2023· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Le système éducatif québecois
Bernadette Plumelle
2002· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Drama
Ric Knowles
2004· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
De Kingston à Montréal
Gilles Gallichan
2017· article· fr· Les Cahiers des dix· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About