MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Knowledge Management and Sharing
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.

1,097 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.
1,097 works in the cohort · of 4,299,418page 11 of 22

Labels cover 10 of 1,097 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 1,097 of 1,097 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
In or Out
Yinglei Wang, Darren Meister, Peter Gray
2011· article· en· Journal of Organizational and End User Computing· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Personality, Emotion and Judgment in Virtual Environments
Steven A. Murphy, Michael J. Hine, Nathaniel C. Lupton, John M. Zelenski
2009· article· en· Journal of Electronic Commerce in Organizations· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Knowledge Identification and Acquisition in SMEs
Karen Becker, Frances Jørgensen, Adelle Bish
2015· article· en· International Journal of Knowledge Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
IT Champions as Agents of Change: a Social Capital Perspective
Bogdan Negoita, Yasser Rahrovani, Liette Lapointe, Alain Pinsonneault, Momin Mirza
2012· article· en· Journal of the Association for Information Systems· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
fundaboutno affunlabeled
Virtual knowledge production within a physician educational outreach program
Mowafa Househ, André Kushniruk, Malcolm Maclure, Bruce Carleton, Denise Cloutier
2011· article· en· Knowledge Management & E-Learning An International Journal· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
4
citations
affunlabeled
Trust in Virtual Communities
Eun G. Park
2008· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affaboutunlabeled
Virtual Community Building and the Information Society
Christo El Morr, Pierre Maret, Mihaela Dinca-Panaitescu, Marcia Rioux, Julien Subercaze
2011· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
← previousnext →

How this was built: Screen · Findings · About