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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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Employment and Welfare Studies
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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
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venuejournal
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,193 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.
3,193 works in the cohort · of 4,299,418page 43 of 64

Labels cover 13 of 3,193 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 3,193 of 3,193 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.

affvenueunlabeled
Austerity and fiscal prudence are health issues
Diane Kelsall, Carsten Hennings
2015· editorial· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Understanding Workplace Violence
Marylène Gagné, Véronique Dagenais-Desmarais, François Courcy
2014· book-chapter· en· Oxford University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
fundno affno abstractunlabeled
Child Economic Vulnerability Dynamics in the Recession
James Williams
2016· book-chapter· en· Trinity's Access to Research Output (TARA) (Trinity College Dublin)· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Increasing Inequality in the United States
Fokus Amerika
2006· preprint· en· RePEc: Research Papers in Economics· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Employment Situation, November
Murat Tasci, Beth Mowry
2007· article· en· Economic Trends· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
Employment Insurance and the Business Cycle
Andreas Pollak
2013· article· en· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Gender and precarity
Aaron “Splash” Moody, Trina Prince, Cherylann Thomas, Kenzie Woodbridge, Xinying Hu, Kate J. Duncan
2016· article· en· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About