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Record W4396769434 · doi:10.1057/s41253-024-00244-5

A francophone political culture? Similarities and differences among French speakers in Canada, Belgium, Switzerland, and France

2024· article· en· W4396769434 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFrench Politics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Ottawa
FundersUniversité de Lausanne
KeywordsFrenchPoliticsMulticulturalismBiology and political orientationPolitical cultureComparative politicsFederalismGender studiesScholarshipSociologyNeuroscience of multilingualismMultilingualismPolitical scienceLinguisticsLaw

Abstract

fetched live from OpenAlex

Abstract This paper explores whether language shapes political culture by examining the case of French and a possible transnational francophone political culture. Using original survey data from Canada, Belgium, Switzerland, and France collected in autumn 2020, we find only small within-country differences between francophones and non-francophones and limited transnational alignment. National patterns dominate even in multilingual federations with divided media landscapes and centrifugal politics. Only regarding feminism and drug policy do we find evidence of a common francophone orientation. In both domains, French mother tongue is correlated with the same distinct attitude regarding the role of the state compared to non-French speakers. These findings suggest that language is indeed related to political culture, albeit in a circumscribed manner. We thus contribute to scholarship on political behaviour and multicultural federalism by exploring how language shapes attitudes for individuals and groups alike.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.227
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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