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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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Workplace Health and Well-being
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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.

1,654 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.
1,654 works in the cohort · of 4,299,418page 26 of 34

Labels cover 5 of 1,654 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 1,654 of 1,654 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.

affunlabeled
Recognize Your Employees: A Simple Act
Jean‐Pierre Brun, Cary L. Cooper
2009· book-chapter· en· Palgrave Macmillan UK eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
c50vg4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Evaluating Mental Health Disability in the Workplace
Marilyn Price
2011· article· en· Journal of the American Academy of Psychiatry and the Law online/˜The œjournal of the American Academy of Psychiatry and the Law· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Incorporating Sex and Gender Considerations in Research on Psychosocial Work Exposures and Cardiovascular Diseases: An Umbrella Review of 55 Prospective Studies on Demand-Control Model, Effort-Reward Imbalance Model, and Long Work Hours
Azita Zahiri Harsini, Mahée Gilbert‐Ouimet, Valérie Hervieux, Xavier Trudel, Léonie Matteau, Laura Jalbert +4 more
2024· preprint· en· SSRN Electronic Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(08)70529-5
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
From the Editor
Lenny Kaminsky
2022· editorial· en· Journal of Cardiopulmonary Rehabilitation and Prevention· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Importance of work environments on hospital outcomes in nine countries
Linda H. Aiken, Douglas M. Sloane, Sean P. Clarke, Lusine Poghosyan, Eunhee Cho, Liming You +3 more
2011· article· en· CDU eSpace Institutional Repository (Charles Darwin University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
rental agreement alberta pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractgemma · no categorygpt · no categorymodels split
Evaluation of usability and acceptability of a peruvian Telemental health service for early assessment among vulnerable occupational workers: mixed-method study with a user-centered design approach (Preprint)
Jimmy Andreyvan Cainamarks-Alejandro, Liliana Cruz-Ausejo, Miguel Angel Burgos-Flores, Jaime Rosales‐Rimache, Jonh Astete, David Villarreal‐Zegarra
2024· article· en· JMIR Formative Research· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(08)70359-4
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
PRACTICAL IMPLICATIONS
D Chenoweth, David Hunnicutt, Robin C. Rager
2014· article· en· ACSMʼs Health & Fitness Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About