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
Language, Metaphor, and Cognition
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.

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

affunlabeled
Introducing positive psychology to SLA
Sarah Mercer, Peter D. MacIntyre
2014· article· en· Studies in Second Language Learning and Teaching· Psychology
machine prediction:candidate · noneconsensus · none
510
citations
affunlabeled
Metaphor and Material Culture
Gerald L. Pocius
2001· article· en· American Anthropologist· Psychology
machine prediction:candidate · noneconsensus · none
359
citations
affunlabeled
Mental Spaces in Grammar
Barbara Dancygier, Eve Sweetser
2005· book· en· Cambridge University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
339
citations
affno abstractunlabeled
Evidentiality in language and cognition
Anna Papafragou, Peggy Li, Youngon Choi, Chung–hye Han
2006· article· en· Cognition· Psychology
machine prediction:candidate · noneconsensus · none
272
citations
affunlabeled
It's Fascinating Research
Penny M. Pexman
2008· article· en· Current Directions in Psychological Science· Psychology
machine prediction:candidate · noneconsensus · none
253
citations
aboutno affunlabeled
Language and the creative mind
Discourse Conceptual Structure, Mike Borkent, Barbara Dancygier, Jennifer Hinnell
2013· book· en· CSLI eBooks· Psychology
machine prediction:candidate · noneconsensus · none
199
citations
aboutno affunlabeled
Abstract motion is no longer abstract
Teenie Matlock
2010· article· en· Language and Cognition· Psychology
machine prediction:candidate · noneconsensus · none
181
citations
affunlabeled
Internet memes as multimodal constructions
Barbara Dancygier, Lieven Vandelanotte
2017· article· en· Cognitive Linguistics· Psychology
machine prediction:candidate · noneconsensus · none
156
citations
affunlabeled
Using Figurative Language
Herbert L. Colston
2015· book· en· Cambridge University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
149
citations
affunlabeled
How Sarcastic are You?
Stacey L. Ivanko, Penny M. Pexman, Kara M. Olineck
2004· article· en· Journal of Language and Social Psychology· Psychology
machine prediction:candidate · noneconsensus · none
135
citations
affunlabeled
Saying What You Don't Mean
Albert N. Katz, Dawn G. Blasko, Victoria A. Kazmerski
2004· article· en· Current Directions in Psychological Science· Psychology
machine prediction:candidate · noneconsensus · none
126
citations

How this was built: Screen · Findings · About