MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Nursing education and management
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

1,435 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,435 works in the cohort · of 4,299,418page 16 of 29

Labels cover 9 of 1,435 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 1,435 of 1,435 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
Professional Identity Formation: A Concept Analysis
Kathryn Halverson, Deborah Tregunno, Ivana Vidjen
2022· article· en· Quality Advancement in Nursing Education - Avancées en formation infirmière· Nursing
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
The Learning Needs of Nurses Experiencing Job Change
Michelle Butt, Andrea Baumann, Linda O’Brien‐Pallas, Raisa Deber, Jennifer Blythe, Alba DiCertso
2002· article· en· The Journal of Continuing Education in Nursing· Nursing
machine prediction:candidate · noneconsensus · none
7
citations
affvenueaboutunlabeled
Development and Evaluation of an RN/RPN Utilization Toolkit
Margaret Blastorah, Kim Alvarado, Lenora Duhn, Frances Flint, Petrina McGrath, Susan VanDeVelde‐Coke
2010· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
From Student to Emergency Nurse
Nancy Turner, Johanne Goudreau
2011· article· en· Journal for Nurses in Staff Development· Nursing
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Attention and Restoration in Post-RN Students
Christina M. Sanders, Dawn Yankou, Mary‐Anne Andrusyszyn
2005· article· en· The Journal of Continuing Education in Nursing· Nursing
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About