Se mettre au vert dans un monde queer : Mutation, épidémie et régénération dans <i>Verts</i> et « Les Neuf derniers jours sur Terre »
Bibliographic record
Abstract
Le roman graphique Verts (2024) de Patrick Lacan et Marion Besançon, et la nouvelle « Les Neuf derniers jours sur Terre » (2020) de Daryl Gregory, mettent en scène la transformation du monde au contact d’une épidémie végétale. Les comparer me permet d’interroger des topoï de la science-fiction depuis le point de vue queer de leurs personnages. Dans ces œuvres, le mutant importe moins que la mutation, et les parentés sont ouvertes aux Autres qu’humains pour défendre une futurité queer. Face aux crises, la culture populaire semble ainsi développer une esthétique posthumaine fondée sur une appréhension renouvelée de la pandémie.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".