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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
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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 163 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.

affaboutunlabeled
Canada and the Venezuela Crisis
Yvon Grenier
2019· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Le déséquilibre fiscal au Canada
P Xavier
2007· article· fr· Docs.school Publications· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affno abstractunlabeled
Edmonton Centre Photos.
M. Noble, W. Malkin
2007· article· en· Journal of the Royal Astronomical Society of Canada· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Introduction to resource taxation in Canada
C. Anne Calverley, Brian R. Carr
2014· book· en· Carswell eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Case for Centralized Federalism
Gillian Perry
2012· article· en· British Journal of Canadian Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Section Three: Canadian Defence
George R. Lindsey
2019· book-chapter· en· University of Toronto Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Bell Canada celebrates 30 years
Kenneth I Swartz
2016· article· en· Verti-flite· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Paper Boom, Acid Bubble or Staple Bust
Hugh Grant, Henry Thille
2000· article· en· Studies in Political Economy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Refocus on Recovery Canada 2020
Refocus on Recovery Canada
2020· article· en· Journal of Recovery in Mental Health· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Basic Income Simulations for the Province of British Columbia
David A. Green, Jonathan R. Kesselman, Lindsay M. Tedds, I. Daria Crisan, Gillian Petit
2020· article· en· Munich Personal RePEc Archive (Munich University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Nunavut Constitutional Forum
Brian Chiabi
2017· article· en· Biographies | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About