Évolution du verlan, marqueur social et identitaire, dans les films: <i>La Haine</i> (1995) et <i>L’Esquive</i> (2004)
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.
Bibliographic record
Abstract
Résumé
 Vieil argot des malfaiteurs, le verlan est devenu aujourd’hui un trait distinctif du langage des jeunes français. Comme il a été mentionné dans un précédent article « Le verlan, phénomène langagier et social : récapitulatif. » (The French Review, Vol. 82, 2 : 308-324, 2008), cette pratique langagière se rencontre largement dans la banlieue, plus précisément dans les cités parisiennes. Cet article analysera la façon dont la jeunesse ethnique minoritaire se sert de cette variété de parler pour se révolter contre l’isolation socioculturelle et promulguer sa position d’identité. Nous essayerons de mettre en évidence la correspondance entre le fonctionnement du codage du verlan et son usage comme véhicule d’expression d’une culture distincte par rapport à la culture française traditionnelle. 
 
 Mots clés : Verlan, identité, banlieues, culture distincte, assignation sociale
 
 Abstract
 Old slang of robbers and the lawless, verlan has become a very distinctive trait of the language spoken today by French youth. As mentioned in a previous article (« Le verlan, phénomène langagier et social: récapitulatif. » in The French Review, Vol. 82, 2: 308-324, 2008) this so called language seems to be prevalent in the Parisian suburbs, better known as the cités. This article will examine how members of ethnic minorities use it in order to rebel against their cultural isolation and to affirm their own identity. We will try to show the relationship between the encoding and the use of this language as an expression of a distinct culture in relation to traditional French culture.
 
 Key words: Verlan, identity, Parisian suburbs, distinct culture and social tagging
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it