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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.

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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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Language, Metaphor, and Cognition
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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.

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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.

1,738 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.
1,738 works in the cohort · of 4,299,418page 2 of 35

Labels cover 0 of 1,738 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 1,738 of 1,738 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
Introduction: beyond words
Luis Radford, Laurie D. Edwards, Ferdinando Arzarello
2008· article· en· Educational Studies in Mathematics· Psychology
machine prediction:candidate · noneconsensus · none
124
citations
affno abstractunlabeled
How shall an emotion be called?
James A. Russell
2004· book-chapter· en· American Psychological Association eBooks· Psychology
machine prediction:candidate · noneconsensus · none
116
citations
affno abstractunlabeled
Can Virtual Humans Be More Engaging Than Real Ones?
Jonathan Gratch, Ning Wang, Anna Okhmatovskaia, Francois Lamothe, Mathieu Morales, R. J. van der Werf +1 more
2007· book-chapter· en· Lecture notes in computer science· Psychology
machine prediction:candidate · noneconsensus · none
106
citations
affunlabeled
When Sarcasm Stings
Andrea Bowes, Albert N. Katz
2011· article· en· Discourse Processes· Psychology
machine prediction:candidate · noneconsensus · none
103
citations
affunlabeled
Understanding Irony
Penny M. Pexman, Kara M. Olineck
2002· article· en· Journal of Language and Social Psychology· Psychology
machine prediction:candidate · noneconsensus · none
101
citations
affno abstractunlabeled
Thinking of God moves attention
Alison L. Chasteen, Donna C. Burdzy, Jay Pratt
2009· article· en· Neuropsychologia· Psychology
machine prediction:candidate · noneconsensus · none
101
citations
affunlabeled
Irony as a viewpoint phenomenon
Vera Tobin, Michael Israel
2012· book-chapter· en· Cambridge University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
99
citations
venueno affunlabeled
Argument Has No Function
Jean Goodwin
2008· article· en· Informal Logic· Psychology
machine prediction:candidate · noneconsensus · none
95
citations
affunlabeled
‘The Teacher Is an Octopus’
Thomas S. C. Farrell
2006· article· en· RELC Journal· Psychology
machine prediction:candidate · noneconsensus · none
94
citations
aboutno affunlabeled
Figured Worlds
John Clammer, Sylvie Poirier
2004· book· en· University of Toronto Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
91
citations
affunlabeled
Bridging the gap
Anna Macaranas, Alissa N. Antle, Bernhard E. Riecke
2012· article· en· Psychology
machine prediction:candidate · noneconsensus · none
87
citations
affunlabeled
Where is the humor in verbal irony?
Raymond W. Gibbs, Gregory A. Bryant, Herbert L. Colston
2014· article· en· Humor - International Journal of Humor Research· Psychology
machine prediction:candidate · noneconsensus · none
85
citations
affunlabeled
Emotive Language in Argumentation
Fabrizio Macagno, Douglas Walton
2014· book· en· Cambridge University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
75
citations
affno abstractunlabeled
Conceptual blending in advertising
Annamma Joy, John F. Sherry, Jonathan Deschênes
2008· article· en· Journal of Business Research· Psychology
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
“Our language is very literal”
Sally Rice
2012· book-chapter· en· Cognitive linguistic studies in cultural contexts· Psychology
machine prediction:candidate · noneconsensus · none
73
citations
affunlabeled
Recognizing sarcasm without language
Henry S. Cheang, Marc D. Pell
2011· article· en· Pragmatics & Cognition· Psychology
machine prediction:candidate · noneconsensus · none
71
citations
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