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Pluralisme identitaire et nation unitaire en Suisse

2011· article· fr· W1485725931 on OpenAlexaffabout
Manuel Meune

Bibliographic record

VenueSwiss Political Science Review · 2011
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Résumé: L’article s’interroge sur l’absence, en Suisse, d’un mouvement national interne qui s’opposerait au récit national fédéral. L’auto‐désignation comme nation, au sein de pays plurilingues comme le Canada, est l’indice de tensions linguistiques fortes, mais en Suisse, seul le concept de « communauté linguistique » se réfère à l’échelon ethnolinguistique. Même si les émotions identitaires et le rapport au territoire dans le canton de Fribourg rappellent la situation québécoise, les conflits linguistiques sont réglés exclusivement au niveau cantonal. Pour qu’émerge un discours national « infra‐suisse », il faudrait que l’appartenance romande ou alémanique soit considérée comme particulièrement centrale. Or, notre enquête auprès de 962 conseillers communaux de cantons bilingues montre que l’affiliation linguistique est importante et modèle les comportements politiques, mais qu’elle ne concurrence pas l’identification cantonale (particulièrement forte en Valais) ou l’identification suisse. Pour des raisons qui tiennent à l’histoire et à la géographie linguistique, la Suisse demeure une nation unitaire.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.014
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.083
GPT teacher head0.324
Teacher spread0.241 · 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 designQualitative
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

Citations3
Published2011
Admission routes2
Has abstractyes

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