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
Emotional Intelligence and Performance
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.

868 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.
868 works in the cohort · of 4,299,418page 3 of 18

Labels cover 0 of 868 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 868 of 868 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
Interrogating Emotions in Police Leadership
Edward N. Drodge, Steven A. Murphy
2002· article· en· Human Resource Development Review· Psychology
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Personality and Leadership
David V. Day, Joyce E. Bono, Winny Shen, David J. Yoon
2014· book-chapter· en· Oxford University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
43
citations
venueno affno abstractunlabeled
Pedagogic Leadership: Refocusing on Learning and Teaching.
Neil MacNeill, Robert F. Cavanagh, Steffan Silcox
2005· article· en· International electronic journal for leadership in learning· Psychology
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Developing Emotional Intelligence
Lucas Filice, W. James Weese
2024· article· en· Encyclopedia· Psychology
machine prediction:candidate · noneconsensus · none
30
citations
venueno affunlabeled
Importance of Soft Skills and Its Improving Factors
Prabhu Nath Singh, Shagufta N Ansari, Sanjay Pandey
2022· article· en· World Journal of English Language· Psychology
machine prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
Emotion Regulation in the Workplace
Stéphane Côté, Sue Moon, Christopher T. H. Miners
2008· book-chapter· en· Edward Elgar Publishing eBooks· Psychology
machine prediction:candidate · noneconsensus · none
27
citations

How this was built: Screen · Findings · About