Enjeux identitaires dans Garçon manqué et Mes mauvaises pensées de Nina Bouraoui
Bibliographic record
Abstract
Dans un premier temps, j'aborde la nature générique des textes d'autoreprésentation. J'examine les caractéristiques de Garçon manqué en tant que récit autobiographique et de Mes mauvaises pensées en tant qu'autofiction. Ces réflexions laisseront voir l'importance des deux oeuvres comme lieu de construction des identités. \n \nJe propose ensuite de préciser quelques notions philosophiques de la théorie performative de Judith Butler (performativité, interpellation, intelligibilité, agentivité et îe fonctionnement de la matrice hétérosexuelle) à travers lesquelles je conduis mon analyse des deux textes de Nina Bouraoui. C'est l'occasion de signaler la pertinence de l'analyse littéraire à partir des notions de la théorie de Butler. \n \nDans le chapitre trois et quatre, l'analyse des deux textes autobiographiques permet la distinction d'une identité plurielle, mobile et hybride. La possibilité de construction d'une identité « autre » se révèle ainsi possible, ce qui permet de lire dans les textes la capacité d'agir des sujets.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".