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
Game Theory and Voting Systems
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.

776 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.
776 works in the cohort · of 4,299,418page 2 of 16

Labels cover 0 of 776 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 776 of 776 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
Two-sided matching with partial information
Baharak Rastegari, Anne Condon, Nicole Immorlica, Kevin Leyton‐Brown
2013· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
43
citations
affno abstractunlabeled
The k-level facility location game
Dachuan Xu, Donglei Du
2005· article· en· Operations Research Letters· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Coalition Formation in Non-Democracies
Daron Acemoğlu, Georgy Egorov, Konstantin Sonin
2008· article· en· The Review of Economic Studies· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
40
citations
affno abstractunlabeled
An electoral butterfly effect
Robert C. Sinclair, Melvin M. Mark, Sean E. Moore, Carrie A. Lavis, Alexander S. Soldat
2000· article· en· Nature· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
39
citations
affno abstractunlabeled
Weakened WARP and top-cycle choice rules
Lars Ehlers, Yves Sprumont
2007· article· en· Journal of Mathematical Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Seen as stable marriages
Hong Xu, Baochun Li
2011· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Single-Peakedness and Disconnected Coalitions
Steven J. Brams, Michael A. Jones, D. Marc Kilgour
2002· article· en· Journal of Theoretical Politics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
38
citations
aboutno affunlabeled
Matching Systems for Refugees
W. Paul Jones, Alexander Teytelboym
2017· article· en· Journal on Migration and Human Security· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Social distance games
Simina Brânzei, Kate Larson
2011· article· en· International Joint Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
36
citations
affno abstractunlabeled
Plurality Voting with Truth-Biased Agents
Svetlana Obraztsova, Evangelos Markakis, David R. M. Thompson
2013· book-chapter· en· Lecture notes in computer science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
34
citations
affno abstractunlabeled
(Sophisticated) Stable Sets in Exchange Economies
Joseph Greenberg, Xiao Luo, Reza Oladi, Benyamin Shitovitz
2002· article· en· Games and Economic Behavior· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
Rationalizable variable-population choice functions
Charles Blackorby, Walter Bossert, David Donaldson
2002· article· en· Economic Theory· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Leximin Allocations in the Real World
David Kurokawa, Ariel D. Procaccia, Nisarg Shah
2018· article· en· ACM Transactions on Economics and Computation· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Legislative Bargaining in the European Union
Paul Schure, Amy Verdun
2008· article· en· European Union Politics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
Sharing the cost of a network: core and core allocations
Maurice Koster, Elisenda Molina, Yves Sprumont, S.H. Tijs
2002· article· en· International Journal of Game Theory· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations
afffundno abstractunlabeled
Matching markets under (in)complete information
Lars Ehlers, Jordi Massó
2015· article· en· Journal of Economic Theory· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Empirical analysis of plurality election equilibria
David R. M. Thompson, Omer Lev, Kevin Leyton‐Brown, Jeffrey S. Rosenschein
2013· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
30
citations
afffundno abstractunlabeled
On demand responsiveness in additive cost sharing
Hervé Moulin, Yves Sprumont
2004· article· en· Journal of Economic Theory· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
The unavailable candidate model
Tyler Lu, Craig Boutilier
2010· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
Finding small stabilizers for unstable graphs
Adrian Bock, Karthekeyan Chandrasekaran, Jochen Könemann, Britta Peis, Laura Sanità
2014· article· en· Mathematical Programming· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
Procedural Choice in Majoritarian Organizations
Daniel Diermeier, Carlo Prato, Razvan Vlaicu
2009· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
A Continuous-Time Model of Multilateral Bargaining
Attila Ambrus, Shih En Lu
2015· article· en· American Economic Journal Microeconomics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
Maximin Envy-Free Division of Indivisible Items
Steven J. Brams, D. Marc Kilgour, Christian Klamler
2016· article· en· Group Decision and Negotiation· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
28
citations
← previousnext →

How this was built: Screen · Findings · About