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
Experimental Behavioral Economics Studies
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.

1,323 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.
1,323 works in the cohort · of 4,299,418page 23 of 27

Labels cover 0 of 1,323 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 1,323 of 1,323 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.

affno abstractunlabeled
Social Incentives
Anna Dorfman, Igor Grossmann
2019· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Visible Minorities and Majority Giving*
Benic Amankwaa, Rose Anne Devlin
2016· preprint· en· uO Research (University of Ottawa)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Group Size and Cooperation Among Strangers
John Duffy, Huan Xie
2012· preprint· en· eScholarship (California Digital Library)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Mineral exploration as a game of chance
Peter N Bell
2015· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Prize Allocation and Incentives in Team Contests
Benoît S. Y. Crutzen, Sabine Flamand, Nicolas Sahuguet
2017· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Mind, rationality, and cognition: An interdisciplinary debate
Nick Chater, Teppo Felin, David C. Funder, Gerd Gigerenzer, Jan J. Koenderink, Joachim I. Krueger +6 more
2018· article· en· BIROn (Birkbeck, University of London)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Free riding and the provision of candy bars
Marco Haan, Peter Kooreman
2002· preprint· en· University of Groningen research database (University of Groningen / Centre for Information Technology)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Economic Methodology: A Bibliometric Perspective
Alexandre Truc, François Claveau, O. Gallet de Santerre
2020· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
affunlabeled
Overcoming Free-Riding in Bandit Games
Nicolas Klein, Sven Rady
2019· preprint· en· arXiv (Cornell University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Incentives for Accuracy in Analyst Research
Patricia Crifo, Hind Sami
2011· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
The Need to Include Real-Life Factors in Economic Studies
Jeffrey Yi‐Lin Forrest, Kangping Wu, Baek‐Kyoo Joo, Yan Li, Kosin Isariyawongse
2023· book-chapter· en· Translational systems sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Moral Hazard in Teams Revisited
Baomin Dong
2003· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About