MétaCan
Menu
Back to cohort
Record W4293213844 · doi:10.7202/1089179ar

The Last Standard-Bearers of Biculturalism: A Quebec-Ontario Comparison of Cosmopolitan, National, Subnational, and Local Affiliations among Official Language Minorities

2022· article· fr· W4293213844 on OpenAlexaffvenueabout
Pierre-Olivier Bonin

Bibliographic record

VenueMinorités linguistiques et société · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsCanadian Linguistic Association
Fundersnot available
KeywordsCosmopolitanismBiculturalismMulticulturalismPolityImmigrationPolitical scienceCitizenshipPopularitySociologyGender studiesLawNeuroscience of multilingualismLinguistics

Abstract

fetched live from OpenAlex

Despite the popularity of the cosmopolitan idea of “postnationality” and multicultural concepts of citizenship, biculturalism continues to have a lasting impact upon Canadian institutions and group loyalties. This article constitutes the first empirical investigation of affiliations among the two largest official minority language groups in Canada, Anglo-Quebecers and Franco-Ontarians. Concurring with previous research, the study finds that organizational engagement predicts stronger socio-territorial affiliations. Furthermore, evidence shows that, Franco-Ontarians are 1) less likely to be cosmopolitan than Anglo-Quebecers, 2) about equally likely to be attached to the Canadian national identity as Anglo-Quebecers, 3) more likely to identify with their province than Anglo-Quebecers, and 4) more likely to have a strong affiliation with their local polity than Anglo-Quebecers. Taken together, the findings suggest that cosmopolitanism might work better for majorities than minorities, and as a consequence for Anglophones than Francophones even when the former are in a minority setting.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.362
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueMinorités linguistiques et sociétéSame topicPolitical Systems and GovernanceFrench-language works237,207