« Toute poétique est une politique. » L’exemple de Leslie Kaplan et François Bon
Bibliographic record
Abstract
Notre travail vise à inscrire la pensée littéraire de Leslie Kaplan et François Bon dans une pensée politique à travers l’étude de leurs poétiques qui portent à la fois une vision et une contestation de l’ordre établi. En effet, les textes de Kaplan et de Bon mettent en scène l’effacement progressif du social et, par voie de conséquence, des individus devenus des fantômes de la politique. Face à ce déni systématique, les deux écrivains choisissent d’aborder la société par sa violence en allant chercher leurs propres mots dans la parole précaire des gens ordinaires. Nous verrons comment cette parole, qui n’était qu’un simple « bruit », change les personnages en se hissant au rang de discours visant à réintroduire de la complexité dans l’événement social et politique.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".