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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.

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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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Census and Population Estimation
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.

681 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
Language
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
681 works in the cohort · of 4,299,418page 9 of 14

Labels cover 4 of 681 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 681 of 681 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Principal Statistician
2006· article· en· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Quebec
2001· other· en· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Guest Editors
2012· article· en· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
U.S. Census Bureau
2012· article· en· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
JEL Classifications:
2003· article· en· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Métis Population Data in Canada
Chris Andersen, Chelsea Gabel
2025· book-chapter· en· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Gerry Gravel
2003· article· en· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Three Data Sources
2004· article· en· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Officers
2005· article· en· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Commentary Losing Our Census
2016· article· en· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Statistics Statistique
2015· article· en· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
STATISTICS IN CANADA
2011· article· en· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Census
Gustave Goldmann
2023· book-chapter· en· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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How this was built: Screen · Findings · About