Chair Piment de Gisèle Pineau : au-delà de la vengeance, surmonter l’impardonnable
Bibliographic record
Abstract
The question of vengeance appears in a particularly striking fashion in one of Gisèle Pineau’s many novels, Chair Piment, published in 2002. At the centre of the story is Mina, a young Guadeloupan woman living in exile in Paris and haunted by the ghost of her sister Rosalia who was killed in a fire 20 years earlier. Waiting in the wings is Suzon, whom the reader slowly discovers is harbouring a vengeful passion that will push her to exert a “supernatural retaliation”on the entire family of Mina’s father Melchior for his having abandoned her years earlier. Drawing from sociocriticism and the poetics of genre, this analysis will look at the language and discourse used in this somewhat fantastic treatment of the theme of vengeance. Amid this passionate melodrama lurk questions that provoke a discourse that is at times didactic, suggesting, as in fairy tales, that there is a right and a wrong path to follow. It is not vengeance that will cure the evils of the past but the magic of the spoken word.
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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 | 0.001 | 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 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".