Les Turcs turcophones de France: langues, identités et enjeux culturels
Bibliographic record
Abstract
Dans le cadre du projet Reprsentations des langues et des identits en Mditerrane en contexte plurilingue (EA 739 Dipralang), nous avons interrog les reprsentations sociolinguistiques de la communaut turque du sud de la France (travailleurs et tudiants), communaut qui continue de pratiquer sa langue maternelle en contexte migratoire. Nous avons plus particulirement cherch cerner le rapport la langue maternelle minore (le turc) et celui la langue dominante du pays d'accueil (le franais) pour mettre en lumire les liens entre l'attachement la langue/aux langues et le sentiment d'appartenance au(x) groupe(s). Afin de mieux comprendre la construction des altrits culturelles, nous avons galement tent d'identifier les implications que les reprsentations sociolinguistiques peuvent avoir sur les plans linguistique et identitaire.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".