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Record W4391685071 · doi:10.1080/13597566.2024.2314081

Multilingual federalism in times of crisis

2024· article· en· W4391685071 on OpenAlex
Sean Mueller, Pirmin Bundi

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRegional & Federal Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsPoliticsFederalismDiversity (politics)Corporate governanceState (computer science)MultilingualismPolitical sciencePolitical economyLinguistic diversitySurvey data collectionCultural diversityLanguage policySociologyLinguisticsEconomicsLaw

Abstract

fetched live from OpenAlex

Language has often been associated with the political culture of citizens and certain core values and expectations in multilingual federations. In times of crisis, the existence and extent of cultural characteristics are particularly relevant for multilingual societies, where cultural differences can fuel political conflict as much as similarities can bring people together. To answer whether and how language is associated with different political attitudes, this article analyses a cross-sectional survey of 7600 citizens in Australia, Belgium, Canada, France, Switzerland, and the United States. We find that some attitudes toward governance are indeed correlated with language, despite different nation-state contexts. In particular, French-speakers have different preferences for territorial centralization, while the governance attitudes of English-speakers are almost indistinguishable across countries. These findings allow us to refine and reconcile two common assumptions in the literature: that linguistic diversity leads to heterogeneous policy preferences, and that national integration masks cultural differences.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score0.965

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 studies0.0000.000
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 head0.073
GPT teacher head0.393
Teacher spread0.320 · 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