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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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Global Health Workforce Issues
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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.

3,522 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,522 works in the cohort · of 4,299,418page 30 of 71

Labels cover 18 of 3,522 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 3,522 of 3,522 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.

affno abstractunlabeled
eMedical Teacher
Rachel Ellaway
2011· article· en· Medical Teacher· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affvenueunlabeled
Handbook of Migration and Health
Barry Edmonston
2018· article· en· Canadian Studies in Population· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Special Issue on Anti-Racism, Health, and Nursing
Bukola Salami, Josephine Pui‐Hing Wong
2025· editorial· en· Canadian Journal of Nursing Research· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
The Health System and International Recruitment
Sandra MacDonald‐Rencz, Janet Davies
2010· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Australia eyeing Canada's rural MDs
Patrick S. Sullivan
2000· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Nursing The Future 2.0
Judy Boychuk Duchscher, Kathryn Corneau
2022· article· en· Nursing Administration Quarterly· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Correction
Maris Andersons, M Ccfp
2022· erratum· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Correction
Maris Andersons, M Ccfp
2022· erratum· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
An incredible learning journey.
L Duffy
2000· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Nurse recruitment. Abroad minded.
James Buchan
2000· article· en· PubMed· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations

How this was built: Screen · Findings · About