Une écriture haptique du devenir-femme : <i>Clèves</i> et <i>Fabriquer une femme</i> de Marie Darrieussecq
Bibliographic record
Abstract
Cet article s’intéresse à certains moments charnières du récit d’apprentissage au féminin que forment ensemble les romans de Marie Darrieussecq Clèves (2011) et Fabriquer une femme (2024), où la narration met l’accent sur les sensations haptiques (relatives au toucher, à la proprioception ou à la kinesthésie) du personnage de Solange. Il s’agit de voir comment l’écriture rend ainsi sensible au lectorat l’expérience incarnée de la jeune fille, en décalage avec la signification socialement attribuée aux étapes qu’elle franchit (ménarche, perte de la virginité, accouchement). À la lumière de notions de phénoménologie féministe et des concepts de female gaze et de feminist gaze , je propose donc de montrer en quoi les modalités de narration de ces deux romans invitent à ressentir avec Solange son expérience corporelle du devenir-femme, contestant au passage l’autorité des balises qui tendent à réduire ce parcours à une initiation à la sexualité hétéronormative et à la maternité.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".