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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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Linguistic Variation and Morphology
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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.

1,815 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.
1,815 works in the cohort · of 4,299,418page 7 of 37

Labels cover 0 of 1,815 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 1,815 of 1,815 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.

affaboutunlabeled
Peaks and arrowheads of vernacular reorganization
Derek Denis, Matt Hunt Gardner, Marisa Brook, Sali A. Tagliamonte
2019· article· en· Language Variation and Change· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
venueno affunlabeled
Linguistic Dimensions of Language Contact
Pieter Muysken
2009· article· fr· Revue québécoise de linguistique· Social Sciences
machine prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
Phonetic change over the career: a case study
Josiane Riverin-Coutlée, Jonathan Harrington
2022· article· en· Linguistics Vanguard· Social Sciences
machine prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
Dialect Corpora from YouTube
Steven Coats
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
New Perspectives on English Historical Linguistics
2004· book· en· Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory· Social Sciences
machine prediction:candidate · noneconsensus · none
13
citations
venueno affunlabeled
Être ou ne pas être in Immersion French
Valerie Knaus, Terry Nadasdi
2001· article· fr· Canadian Modern Language Review/ La Revue canadienne des langues vivantes· Social Sciences
machine prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Canadian Bilingual Districts
Daniel Bourgeois
2006· book· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Subject clitics in English
Laurel J. Brinton
2004· book-chapter· en· Studies in corpus linguistics· Social Sciences
machine prediction:candidate · noneconsensus · none
12
citations
afffundvenueaboutunlabeled
A note on mans in Toronto
Derek Denis
2016· article· en· Toronto Working Papers in Linguistics· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About