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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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Lexicography and Language 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.

778 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
Language
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
778 works in the cohort · of 4,299,418page 2 of 16

Labels cover 3 of 778 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 778 of 778 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.

aboutno affunlabeled
Oxford paperback thesaurus
Maurice Waite
2006· book· en· Oxford University Press eBooks· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
11
citations
affunlabeled
Pragmatics in the History of English
Laurel J. Brinton
2023· book· en· Cambridge University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
11
citations
fundno affunlabeled
Etymological Dictionaries
Éva Buchi
2015· book· en· Oxford University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
The myth of Canadian English
Jaan Lilles
2000· article· en· English Today· Arts and Humanities
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Dictionaries of Canadian English
Stefan Dollinger
2020· book-chapter· en· Cambridge University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
From the Mouths of Canadian University Students
Martine Peters, Alysse Weinberg, Nandini Sarma, Mary Frankoff
2011· article· en· CALICO Journal· Arts and Humanities
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Word Derivation in Early Middle English
Ewa Ciszek
2008· book· en· Medical Entomology and Zoology· Arts and Humanities
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
From the Great French Dictionary (1688
Monique C. Cormier
2005· article· en· International Journal of Lexicography· Arts and Humanities
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
A typology of good grammars
Keren Rice
2007· book-chapter· en· Benjamins current topics· Arts and Humanities
machine prediction:candidate · noneconsensus · none
7
citations
venueno affunlabeled
Morphovariation and Synonymy of Acronyms
Félix Rodríguez González
2002· article· fr· Meta Journal des traducteurs· Arts and Humanities
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Comparing Approaches to Tag Discourse Relations
Shamima Mithun, Leila Kosseim
2011· book-chapter· en· Lecture notes in computer science· Arts and Humanities
machine prediction:candidate · noneconsensus · none
7
citations
venueno affunlabeled
Arabic Phonology
Awaad Alqarhi
2019· article· en· English Linguistics Research· Arts and Humanities
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
A Conversation with Tim Bray
Jim Gray
2005· article· en· Queue· Arts and Humanities
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Convergence of solutions to lexicographic equilibrium problems
Lam Nguyen Hong Anh, Thanatporn Bantaojai, Duc Nguyen Minh, Tran Quoc Duy, Rabian Wangkeeree
2019· article· en· Journal of Applied and Numerical Optimization· Arts and Humanities
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Pragmatics of Focus
Jon Stevens
2016· reference-entry· en· Oxford Research Encyclopedia of Linguistics· Arts and Humanities
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Pedagogy of English Idioms: An Etymological Perspective
Abrar Hussain Qureshi, Behzad Anwar, Adnan Tahir
2018· article· en· International Journal of English Linguistics· Arts and Humanities
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Educational Use of Databases in CALL
Martin Beaudoin
2004· article· en· Computer Assisted Language Learning· Arts and Humanities
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Equivalence in Bilingual Dictionaries
Xiaomei Yu
2020· article· en· English Language Teaching· Arts and Humanities
machine prediction:candidate · noneconsensus · none
5
citations
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