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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 38 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.

affunlabeled
Springboard to success
Cathy Taylor
2002· article· en· Nursing Standard· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Implications of Brexit for nurses
Susan Williams
2017· article· en· Nursing Management· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Deficit, Exploitation, Beauty, Opportunity
Kari Lundgren, David Beard, Zomi Bloom, Erin Brock Carlson, Catherine Gouge, Joshua Jordan +3 more
2025· article· en· Rhetoric of Health & Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Preface
James A. Hallock, Carol A. Aschenbrener
2006· article· en· Academic Medicine· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueaboutno affunlabeled
Improved postgraduate training system needed
Donalee Moulton
2015· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · metaresearchconsensus · none
1
citations
affunlabeled
Voluntary work overseas for foundation doctors
Francis Carbonaro, Graham Hay-Smith
2008· review· en· British Journal of Hospital Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Rural Medical Lives and Time
John T. Connor
2008· article· en· Newfoundland and Labrador Studies· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Is medical school only for the rich
Chris Milburn
2000· article· en· PubMed Central· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affunlabeled
Third year will erase rural medicine
Angus M. Murray
2023· letter· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Creating a Dual Degree: Nursing Education Goes Global
Lorna Butler, Karen L. Ursel, Judith Angelitta Noronha, Jessica Webster, Linu Sara George, Stephen J. Vanslyke
2024· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Institutional Barriers to Community-Based Research
Patricia Johnston, Mark Stoller, Frank Tester
2018· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
1
citations

How this was built: Screen · Findings · About