Bibliographic record
Abstract
Entre espoir et désespoir, entre mort et guérison, Hervé Guibert ne cesse de se chercher et de se trouver. Nous analyserons dans cette étude le « je » malade et les caractéristiques de son esthétique au moment où la maladie ne peut plus être cachée et où l’écrivain décide de devenir le personnage principal de ses autofictions, Á l’ami qui ne m’a pas sauvé la vie et Le Protocole compassionnel. Faisant du sida une question personnelle, individuelle, l’écrivain n’a plus que son corps, qui est la seule liaison avec la vie. À travers l’analyse de son corps malade, Guibert peut se donner la certitude chaque matin, en se regardant dans le miroir, qu’il est encore vivant. Toute maladie, et d’autant plus le sida, agit d’abord sur le physique et ensuite sur le psychique du malade. Les changements évidents que le corps subit obligent la personne malade à se percevoir différemment à chaque étape de la maladie.AbstractStruggling between hope and despair, between death and recover, Hervé Guibert never gives up discovering himself. This study focuses on the inner sick person and on the aesthetics born as soon as the disease can’t be hidden anymore. The writer decides to have AIDS as main character in his two novels, Á l’ami qui ne m’a pas sauvé la vie and Le Protocole compassionnel. Making it a personal issue, the body will be the only link to life. Through the deep analysis of his damaged body, Guibert assures himself of the fact that he is still alive. Considering the different stages of the disease, the physical and mental changes that occur make the patient see himself differently at every step of the way.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".