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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
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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 35 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.

affvenueunlabeled
Reflections of a Rural Practitioner
Judi L. Malone
2010· article· en· Canadian Journal of Counselling and Psychotherapy· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
New national medical electives portal
Lauren Vogel
2014· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
A workforce for the future
Tina Donnelly
2015· article· en· Nursing Management· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueno abstractunlabeled
Rural research: Let's make it happen!
James Rourke, David Bradbury-Squires
2022· article· en· Canadian Journal of Rural Medicine· Health Professions
machine prediction:candidate · metaresearchconsensus · none
2
citations
venueaboutno affunlabeled
The Weather of Anti-Blackness: Is Health Equity Enough?
Chelsey R. Carter, Sirry Alang
2023· 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
venueaboutno affunlabeled
Nurse anesthesiologists
Robert Bland
2020· letter· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
PEI to finally offer abortions on the island
Donalee Moulton
2016· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About