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Record W3099837310 · doi:10.7202/1072087ar

L’indépendantisme catalan en mode multilingue

2020· article· fr· W3099837310 on OpenAlexaffvenueabout
Marc Pomerleau

Bibliographic record

VenuePolitique et Sociétés · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesCatalanPolitical scienceArt

Abstract

fetched live from OpenAlex

Le catalanisme politique est historiquement ancré dans la langue catalane. Majoritaire pendant des siècles en Catalogne, cette langue est devenue minoritaire au cours du XX e siècle, principalement en raison de la répression linguistique et des vagues successives d’immigration espagnole, puis internationale. Dans ce contexte, il serait impensable de mener à terme un projet d’indépendance essentiellement ancré dans la langue nationale. Le mouvement indépendantiste catalan s’est adapté à la nouvelle réalité multilingue en réorientant son approche linguistique : la langue catalane demeure l’un des piliers du projet national, mais ce dernier s’articule aussi en espagnol et dans bien d’autres langues. La société civile catalane, au coeur de la montée de l’indépendantisme, s’est mobilisée et la mise en oeuvre de grands projets de traduction constitue certes l’une des facettes les moins connues de cette mobilisation. Le projet national est traduit dans les langues de l’immigration afin de convaincre les Néo-Catalans du bien-fondé de l’indépendance nationale, ce qui semble donner des résultats positifs. Le contraste entre le multilinguisme de l’indépendantisme catalan et le quasi-unilinguisme de l’indépendantisme québécois est frappant.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.093
GPT teacher head0.450
Teacher spread0.357 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2020
Admission routes3
Has abstractyes

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