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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.

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Experimental Behavioral Economics Studies
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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
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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 ·
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20002025
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Machine labels · sparse coverage
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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 25 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.

affaboutunlabeled
What Should We Believe?
Keith Oatley
2019· article· en· The American Journal of Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Initiating Bargaining
David Goldreich, Łukasz Pomorski
2009· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reciprocity among Equals
Andrew Lister
2025· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Contractual Structure and Endogenous Matching in Partnershipso
Maitreesh Ghatak, Alexander Karaivanov
2011· article· en· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Intention-based reciprocity and signaling of intentions
Séverine Toussaert
2017· preprint· en· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sustaining Group Reputation
Erik O. Kimbrough, Jared Rubin
2013· preprint· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Contingent Prizes in Dynamic Contests
Jorge Lemus, Guillermo Marshall
2025· article· en· The RAND Journal of Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reciprocity Among Different Groups in Society
Jiaxuan Chen, Yezhen Yang, Miaoxi Zhu, Jiade Ma
2023· article· en· SHS Web of Conferences· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Errors in Learning from Others' Choices
Mohsen Foroughifar
2021· preprint· en· arXiv (Cornell University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
When do we punish people who don't?
Justin W. Martin, Jillian Jordan, David G. Rand, Fiery Cushman
2017· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Incentives and Contract Frames: Comment
Claudia M. Landeo, Kathryn E. Spier
2011· article· en· Digital Access to Scholarship at Harvard (DASH) (Harvard University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

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