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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.

affaffiliation
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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 ·
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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 30 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
Introduction
Marisa Bortolussi, Peter Dixon
2002· book-chapter· en· Cambridge University Press eBooks· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Strategizing talk and text
François Cooren
2012· article· en· ˜The œbusiness & management collection.· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.3917/dm.105.0159
2000· article· en· Time to knit· Psychology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Empathy Quotient--French-Canadian Version
Jean‐François Lepage, Mélissa Lortie, Vincent Taschereau‐Dumouchel, Hugo Théoret
2009· dataset· en· PsycTESTS Dataset· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Labels, Discourse, and Meaning-Making
Erin Goheen Glanville, Efrat Arbel
2024· article· en· SSRN Electronic Journal· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Fourth Master Trope, Antithesis
Randy Allen Harris
2019· article· en· Journal for the History of Rhetoric· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Herbert jantzen neues testament pdf
2024· other· de· Zenodo (CERN European Organization for Nuclear Research)· Psychology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Onomatopoeia and Cat Vocalisations
Aliaa Aloufi
2021· article· en· International Journal of English Linguistics· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Linguistic Basis of Mind
David R. Olson
2022· book-chapter· en· Cambridge University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Thermal and metaphorical meanings
Yaorong Ge, Fátima Silva, Fátima Oliveira
2024· article· en· The Mental Lexicon· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Den litterære diskurs
Per Krogh Hansen
2005· article· da· K&K - Kultur og Klasse· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
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