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
Leadership & Organization Development Journal
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.

92 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.
92 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 92 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 92 of 92 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.

affaboutunlabeled
Transformational leadership in an extreme context
Kara A. Arnold, Catherine Loughlin, Megan M. Walsh
2016· article· en· Leadership & Organization Development Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Do my staff trust me?
Joe Krasman
2014· article· en· Leadership & Organization Development Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
The effect of leader risk-taking on subordinate felt trust
Joshua Hanna, Alexandria K. Elms, Harjinder Gill, David Stanley, Deborah M. Powell
2019· article· en· Leadership & Organization Development Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
15
citations
affaboutunlabeled
Information asymmetry in process consultation
Carole Lalonde, Chloé Adler
2015· article· en· Leadership & Organization Development Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About