MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Multilingual Education and Policy
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,008 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,008 works in the cohort · of 4,299,418page 33 of 61

Labels cover 12 of 3,008 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 3,008 of 3,008 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
Language Socialization
Shannon Ward
2022· reference-entry· en· Oxford Research Encyclopedia of Anthropology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Acculturation and Intergroup Communication
Richard Y. Bourhis
2017· reference-entry· en· Oxford Research Encyclopedia of Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
States of Language Policy
2024· book· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Beyond bilingualism
Odilia Yim
2023· book-chapter· en· Studies in bilingualism· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Who may translate Indigenous languages?
Louis‐Jacques Dorais
2024· article· en· Translation Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Trans[cultura]linguación
Yecid Ortega
2022· book-chapter· en· Advances in linguistics and communication studies· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Switching or selecting?
Hannah Davidson
2025· article· en· Asia-Pacific Language Variation· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Language erosion
Mohamed Jlassi, Hajer Harrathi
2025· article· en· European Journal of Language Policy· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Sociolinguistics
2003· article· en· Language Teaching· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Language and globalized discourse
Sylvie Roy
2005· article· en· Sociolinguistic Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Bi‐ and Multilingualism
Richard Clément
2008· other· en· The International Encyclopedia of Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About