Rouge violent et noir mortel dans les romans pour adolescents de Guillaume Guéraud : une écriture sans contrainte
Bibliographic record
Abstract
Dans le contexte de la littérature jeunesse, le traitement de la violence et de sa noirceur peut remettre en jeu les normes et l’horizon d’attente du lecteur adulte. Guillaume Guéraud est l’un des rares auteurs français écrivant des livres pour adolescents à refuser ces contraintes. À travers l’exemple de trois romans, cet article montre comment la violence prend place et se finalise parfois en une « fin non-heureuse ». Au-delà d’un défi aux normes traditionnelles en littérature pour adolescents, l’omniprésence du rouge et du noir dans les romans de Guéraud institue un statut plus élevé du lecteur adolescent et s’éloigne de la fonctionnalité didactique traditionnelle de la littérature de jeunesse.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".