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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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Nursing Education, Practice, and Leadership
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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.

1,197 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.
1,197 works in the cohort · of 4,299,418page 6 of 24

Labels cover 4 of 1,197 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 1,197 of 1,197 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.

venueno affunlabeled
What isn’t said
Caloren Johnstone
2015· article· en· Canadian Medical Association Journal· Nursing
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Trends in Nursing Education Since 1976
Cheryl Tatano Beck
2000· article· en· MCN The American Journal of Maternal/Child Nursing· Nursing
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Staying the course
Linda Ferguson
2004· article· en· Nursing Standard· Nursing
machine prediction:candidate · noneconsensus · none
4
citations
venueaboutno affunlabeled
Understanding the Current State of Community Health Nursing Education in Canada: An Exploration of the Erosion and Devaluation of Community Health Theoretical and Practice Education in Canadian Nursing Programs
Tanya Sanders, Jacqueline Avanthay Strus, Barbara Chyzzy, Andrea Chircop, Genevieve Currie, Francoise Fillion +4 more
2024· article· en· Quality Advancement in Nursing Education - Avancées en formation infirmière· Nursing
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Editor in Chief’s Address
Shiow‐Luan Tsay, Yeur‐Hur Lai
2017· article· en· Journal of Nursing Research· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
aboutno affunlabeled
Outside the Nursing-Home Narrative
Patricia Life
2017· book-chapter· en· transcript Verlag eBooks· Nursing
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Patching things up
John McCleave
2001· article· en· Canadian Medical Association Journal· Nursing
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Non-nurse faculty in nursing schools
Neville E. Strumpf, Madeline A. Naegle, Claire M. Fagin, Linda H. Aiken
2021· letter· en· Nursing Outlook· Nursing
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Who Will Lead Nursing into the Future?
Kathleen Miller, Greta G. Cummings
2012· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About