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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 22 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.

afffundaboutunlabeled
The Relationship of Safety with Burnout for Mobile Health Employees
Michael P. Leiter, Lois Jackson, Ivy Lynn Bourgeault, Sheri Price, Audrey Kruisselbrink, Pauline Gardiner Barber +1 more
2018· article· en· International Journal of Environmental Research and Public Health· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Advancing Research on Mental Health in the Workplace
Erica Di Ruggiero, Zena Sharman
2011· article· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Leaders as Resources
Jennifer K. Dimoff, E. Kevin Kelloway
2017· other· en· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Working Health Services Scotland: a 4-year evaluation
Evangelia Demou, Mark Hanson, Andisheh Bakhshi, Mark Kennedy, Ewan B Macdonald
2017· article· en· Occupational Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Designing Healthy Workplaces
Catherine Loughlin, Danielle Mercer
2014· other· en· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
The Work Instability Scale
Vanitha Arumugam, Joy C. MacDermid
2013· article· en· Journal of physiotherapy· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Reimagining effective workplace support for health workers
Jenny Liu, Anthony Nazarov, Patrick O Smith, Andrea Phelps, David Forbes, Nicole Sadler +16 more
2024· article· en· Bulletin of the World Health Organization· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About