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Record W2586287515 · doi:10.4000/lengas.1048

« Grandes langues » et langues minoritaires : deux politiques linguistiques ?

2016· article· fr· W2586287515 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.

Bibliographic record

VenueLengas · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsFrancophone University Association
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

À première vue, les politiques linguistiques sont très différentes lorsqu’elles concernent les grandes langues standardisées de l’espace public ou les langues régionales ou minoritaires. Les premières relèvent davantage des politiques sociale et économique et visent l’adaptation des langues aux conditions de la vie contemporaine ; les secondes relèvent pour leur part des politiques culturelles à visée patrimoniale, et reposent davantage sur des conceptions identitaires de la vie sociale. D’autres oppositions relaient cette première : par exemple, c’est dans le cas des langues standard que le travail sur le corpus est le plus spectaculaire.Toutefois, certains exemples montrent que cette opposition est moins solide qu’il n’y parait. Et une réflexion sur la genèse et la fonction des identités à l’époque contemporaine montre que les langues moins répandues peuvent bénéficier de nouvelles conceptions politiques.Le propos de l’exposé est général. Mais les exemples mobilisés sont dans tous les cas des langues — nationales ou régionales — romanes, en contexte européen.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.782
Threshold uncertainty score1.000

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)0.0020.001

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 head0.035
GPT teacher head0.271
Teacher spread0.235 · 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