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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 Policy and Governance
Retraction
Abstract
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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.

9,787 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.
9,787 works in the cohort · of 4,299,418page 78 of 196

Labels cover 3 of 9,787 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 9,787 of 9,787 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
Smaller is better
Frances Fiorino
2005· article· en· Aviation week & space technology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Canada’s Top 5 in 5
Michael Villeneuve, Don Wildfong
2013· article· en· Healthcare Quarterly· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Slouching Towards Toronto
P. Bennett
2000· article· en· Landscape architecture· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
McGill University
2015· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
North American Transportation in Figures
2000· other· en· Rosa P: A digital library for transportation research (United States Department of Transportation)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Self-interest in Canadian foreign policy
George A. Maclean
2008· article· en· International journal of Canadian studies = Revue internationale d'études canadiennes· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
From the Editors
Anne Wojtak, Richard Lewanczuk
2025· editorial· en· Healthcare Quarterly· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Ottawa County data and information
Brandi Cook, Osei Damien, April Miller, Sarah Trzebiatowski, Cheryl F. St. Clair, Jack V. Frye +3 more
2001· article· en· SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian Payroll
Meena K. Gupta, Gayle St. Denis, Ikram Ibrahim
2025· book· en· Open MIND· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Ontario appoints John Godfrey
2018· dataset· en· Climate Change and Law Collection· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
6 Canada and Kyoto
Michael W. Manulak
2025· book-chapter· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About