Cacher le genre par la contrainte pour dire l’indicible : du lipogramme de Perec au « lipogenre » de Garréta
Bibliographic record
Abstract
Dans un système d’écriture à contraintes, la contrainte, loin d’être un pur divertissement d’auteur, devient souvent « productive » à un niveau plus haut, en influençant non seulement la diégèse, mais aussi le plan sémantique du texte et, par conséquent, sa signification la plus profonde. Dans cet article nous étudierons cette propriété de la contrainte à partir de La Disparition de Georges Perec (1969) et de Sphynx d’Anne F. Garréta (1986). Nous démontrerons que les deux contraintes utilisées dans ces œuvres, le lipogramme chez Perec et le « lipogenre » chez Garréta, contribuent à la construction d’une écriture du manque, de l’absence, qui, en jouant sur l’occultation/disparition du genre, exploite les potentialités du « non-dit » et se fait, de façon fort inattendue, interprète de l’« indicible ».
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".