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
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 22 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
Emulation in Teams and Families
Daniel Léonard, Ngo Van Long
2009· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
A Context-Free Model of Savings in Motor Learning
Mahdiyar Shahbazi, Olivier Codol, Jonathan A. Michaels, Paul L. Gribble
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Equilibrium Homophily in Networks
Vincent Boucher
2018· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Emotion Venting And Punishment In Public Good Experiments
David L. Dickinson, David Masclet
2015· preprint· en· NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Dictatorship Game
Gabriel Oliveira
2025· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Vicarious learning: model-based or model-free?
Parisa Navidi, Sepehr Saeedpour, Sara Ershadmanesh, Mostafa Miandari Hossein, Bahador Bahrami
2023· preprint· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Honesty in the city
Martin Dufwenberg, Maroš Servátka, Jorge Tarrasó, Radovan Vadovič
2023· article· en· Games and Economic Behavior· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Future University-Hakodate
2001· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About