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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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Social and Intergroup Psychology
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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.

2,041 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.
2,041 works in the cohort · of 4,299,418page 24 of 41

Labels cover 1 of 2,041 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 2,041 of 2,041 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.

afffundunlabeled
Sex, “Lies,” and Videotape
Danu Anthony Stinson, Danielle Gaucher, Joanne V. Wood, Lisa B. Reddoch, John G. Holmes, Douglas C. G. Little
2011· article· en· Social Psychological and Personality Science· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Liar at First Sight?
Timothy G. Wingate, Joshua S. Bourdage
2019· article· en· Journal of Personnel Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
CHANGE WE CAN BELIEVE IN?
Richard P. Eibach, Valerie Purdie‐Vaughns
2009· article· en· Du Bois Review Social Science Research on Race· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Desired attitudes guide actual attitude change
Thomas I. Vaughan‐Johnston, Leandre R. Fabrigar, Xia Ji, Kenneth G. DeMarree, Jason K. Clark
2022· article· en· Journal of Experimental Social Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
venueno affunlabeled
The Social Roots of Contemporary Prejudice
Ben Heylen, Lieven Pauwels
2015· article· en· International Journal of Criminology and Sociology· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Social Identity Theory (SIT)
Gordon Hodson, Megan Earle
2020· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Right-Wing Politicians Prefer the Emotional Left
Nicole A. Thomas, Tobias Loetscher, Danielle Clode, Michael E. R. Nicholls
2012· article· en· PLoS ONE· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
A Multi-Site Collaborative Study of the Hostile Priming Effect
Randy J. McCarthy, Will M. Gervais, Balázs Aczél, Rosemary L. Al‐Kire, Mark Aveyard, Silvia Marcella Baraldo +54 more
2021· article· en· Collabra Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Communicating group norms through election results
Lily Syfers, Amber M. Gaffney, David E. Rast, Dennis A. Estrada
2021· article· en· British Journal of Social Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
News, Politics, and Negativity
Stuart Soroka, Stephen McAdams
2012· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About