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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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Media Studies and Communication
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.

1,390 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,390 works in the cohort · of 4,299,418page 26 of 28

Labels cover 4 of 1,390 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 1,390 of 1,390 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.

affvenueaboutunlabeled
MediaThink
James S. McLean
2003· article· en· Canadian Journal of Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Japanese Canadian Story Telling
Audrey Kobayashi
2006· article· en· Summit (Simon Fraser University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Terms of restriction
Benjamin M. Lewis
2022· preprint· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Filtering the Headlines
Lindsay A. Vodarek
2021· preprint· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Media's impact on campus rape culture
Ritika Nanda
2017· dissertation· en· Mount Royal University Institutional Repository (Mount Royal University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Startup Life
Candis Callison, Mary Lynn Young
2020· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Chapter 1. Breaking news
Michael Small
2009· book-chapter· fr· OpenEdition (OpenEdition)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Black girl code
Natasha Burford
2024· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Domestic Ops in the Arctic
Rob Huebert
2010· article· en· Journal of military and strategic studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
News papers on the Brink
Alex S Jones
2009· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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