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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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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 2 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.

aboutno affunlabeled
The Handbook of the History of English
2006· book· en· Blackwell Publishing Ltd eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
97
citations
aboutno affunlabeled
Differentiation in Australian English
Pam Peters
2014· book-chapter· en· Varieties of English around the world. General series· Social Sciences
machine prediction:candidate · noneconsensus · none
94
citations
affunlabeled
Sampling for variety
Matti Miestamo, Dik Bakker, Antti Arppe
2016· article· en· Linguistic Typology· Social Sciences
machine prediction:candidate · noneconsensus · none
93
citations
affunlabeled
Kalasha (Bumburet variety)
Alexei Kochetov, Paul Arsenault, Jan Heegård Petersen, Sikandar Kalas, Taj Khan Kalash
2020· article· en· Journal of the International Phonetic Association· Social Sciences
machine prediction:candidate · noneconsensus · none
91
citations
afffundunlabeled
Novelty and social preference in phonetic accommodation
Molly Babel, Grant McGuire, Sophie A. Walters, Alice Nicholls
2014· article· en· Laboratory Phonology Journal of the Association for Laboratory Phonology· Social Sciences
machine prediction:candidate · noneconsensus · none
89
citations
affaboutunlabeled
New-Dialect Formation in Canada
Stefan Dollinger
2008· book· en· Studies in language companion series· Social Sciences
machine prediction:candidate · noneconsensus · none
82
citations
affunlabeled
Phonology and Sociolinguistics
Naomi Nagy
2013· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
75
citations
aboutno affunlabeled
Subjects and Universal Grammar
Yehuda N. Falk
2006· book· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
64
citations
affunlabeled
Either it isnt or its not
Sali A. Tagliamonte, Jennifer Smith
2002· article· en· English World-Wide A Journal of Varieties of English· Social Sciences
machine prediction:candidate · noneconsensus · none
63
citations
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