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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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Canadian Policy and Governance
Retraction
Abstract
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Label agreement
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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 103 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
Canada
2020· article· en· IMF Staff Country Reports· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
The No More Pipelines Act?
Andrew Leach
2021· article· en· Alberta Law Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ii
2011· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutno abstractunlabeled
Regulating Systemic Risk in Canada
Anita Anand, Maziar Peihani
2019· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Executive Summary
2001· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
MASTER IN ENVIRONMENTAL STUDIES BY
2007· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Canada - lijroger.html
Gary W. Cox, Arend Lijphart
2009· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Editorial: Canadian Power Play
2015· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
United States–Canada Relations
Taylor Jackson, Christopher Sands
2021· book-chapter· en· Canada and international affairs· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Core Inflation
2021· article· en· Bank of Canada Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Acknowledgements
2012· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
R
2015· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About