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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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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 49 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.

aboutno affunlabeled
Care and vulnerabilities: ideas, concepts, methods
Marjut Jyrkinen, Sophie Bowlby, Mandisa Malinga, Ryan Hron
2025· book-chapter· en· Policy Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
La pandémie de COVID-19 au Canada
2021· other· fr· Études économiques de l'OCDE. Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Labor Standards
Morley Gunderson
2021· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Who Wants to Go to Work Revisited
Alan Chan
2020· article· en· International Journal of Public Sociology and Sociotherapy· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ethics in Workplace Mental Health
Sheldene Simola
2023· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Relative Surplus Population and British Riots
Judith Whitehead
2011· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Precariat
Fiona MacPhail
2024· book-chapter· de· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Mental Health and Well-being in the Workplace
Shona G. Smith, Wendy J. Casper, David F. Arena, Ekonkar Kaur, Wenxi Pu, Erica M. Johnson +5 more
2024· article· en· Academy of Management Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
PROSPERED Dataset: Child's Health Leave
Arijit Nandi, Efe Atabay, Ilona Vincent
2019· dataset· en· Harvard Dataverse· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Reflection on Precarity
Maureen Babb
2022· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Reviews/Critiques d’ouvrages
2013· article· en· Canadian Public Policy· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Measuring Well-Being in Canada
Filomena Maggino
2023· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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