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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 30 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
Stability in the face of contact
Pocholo Umbal
2025· article· en· Asia-Pacific Language Variation· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
6. Global Englishes
Simon Horobin
2018· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Food for /θɔt/ or /θɑt/?
Rosa Balliro
2021· article· en· Lifespans and Styles· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Gender, genre, and prescriptivism
James Hyett, Carol Percy
2024· book-chapter· 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
0
citations
affaboutunlabeled
French in North America
Barbara E. Bullock, Randall Gess
2024· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cayuga word melodies—A corpus phonetic study
Richard J. Hatcher
2020· article· en· The Journal of the Acoustical Society of America· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
The "Bulletin Board" Survey
Olena Anna Pankiw
2019· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
‘Grammar Rules’ in the Sonnets
Alysia Kolentsis
2013· book· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The gender system of Durop
Bruce Connell
2021· article· en· Language Typology and Universals· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Beyond the Isogloss: Isographs in Dialect Topography
Chia-Yi Tony Pi
2006· article· en· The Canadian Journal of Linguistics / La revue canadienne de linguistique· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About