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
Nursing leadership
Topic
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.

933 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.
933 works in the cohort · of 4,299,418page 17 of 19

Labels cover 5 of 933 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 933 of 933 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
Getting back to the basics …
Lynn Nagle
2016· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Commentary: We Are Called upon to Lead
Mary Ferguson-Paré
2009· letter· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
From the Editor-in-Chief
Lynn Nagle
2014· editorial· en· Nursing leadership· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Times of Crisis, Times of Action
Joy Richards
2009· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Letters to the Editor
Susan Duncan, Wendy Nicklin, Judith A. Oulton, Judith Shamian, Shannon Spenceley, Lela Zimmer +3 more
2020· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Letter to the Editor
Heather J. Clarke
2009· letter· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Resolving to Secure a Presence…
Lynn Nagle
2010· article· en· Nursing leadership· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Nursing News
2012· article· en· Nursing leadership
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueno abstractunlabeled
Profile of a Leader - Elizabeth Breeze
Glennis Zilm, Ethel Warbinek
2002· article· en· Nursing leadership· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Leadership Careers
2006· article· en· Nursing leadership· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
The Ties that Bind Us
Lynn Nagle
2015· editorial· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Ask “WHY NOT?” Not “WHAT IF?”
Lynn Nagle
2017· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Close to the Tipping Point
Pam Hubley
2010· letter· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
The Loss of Civility
Lynn Nagle
2013· editorial· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Lessons from a Policy Master
Mike Villeneuve
2007· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Letter to the Editor
Sara Stahlke Wall
2016· letter· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About