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
Academy of Management Proceedings
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.

2,168 results · 1 filter active ·
Results by year
20032025
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.
2,168 works in the cohort · of 4,299,418page 20 of 44

Labels cover 2 of 2,168 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 2,168 of 2,168 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
New Trends in Entrepreneurial Finance Research
Katja Bringmann, Theresa Veer, Aaron H. Anglin, Gary Dushnitsky, Denis A. Grégoire, Diana Hechavarria +2 more
2025· article· en· Academy of Management Proceedings· Business, Management and Accounting
machine prediction:candidate · metaresearchconsensus · none
0
citations
affaboutunlabeled
Insights on the Determinants of Scientific Knowledge Production
Gabriel Cavalli, Anita M. McGahan, Michael Blomfield, Caroline Fry, Matteo Tranchero, Keyvan Vakili +1 more
2023· article· en· Academy of Management Proceedings· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Networks and Diversity in the New Era of Organizational Teams
Shihan Li, David Krackhardt, Brandy Aven, Bill McEvily, Martín Kilduff, Andreas W. Richter +10 more
2023· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Identity Playground in Organizations
Yasuhiro Karakawa, Oli Mihalache
2023· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
New Research Directions on Vulnerable and Marginalized Communities
Madeline Toubiana, Hong Bui, Mia Raynard, Bryant A. Hudson, Romain Vacquier, Andrea Caldwell Marquez +6 more
2023· article· en· Academy of Management Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Organizational Moral Disengagement: Suspending Morality at Work
Irene Skovgaard‐Smith, Roberta Fida, Claudio Barbaranelli, Marinella Paciello, Rosalind Searle, Mamoona Arshad +1 more
2023· article· en· Academy of Management Proceedings· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cultural Values Role in Acceptance of AI Supervision
Amir Bahman Radnejad, Yongjian Bao, Joon Yong Seo, Børge Obel, Hiroyuki Selmes‐Suzuki
2025· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About