Bibliographic record
Abstract
Le Séminaire La peine de mort de Jacques Derrida est hanté, depuis ses marges, par la question de l’euthanasie. Si Derrida y fait allusion à plusieurs reprises au fil des séances, il ne la laisse pas moins en suspens, nous indiquant par là qu’il s’agit d’une problématique à part entière. Or dans « Survivre », texte de 1979 sur L’Arrêt de mort de Maurice Blanchot, Derrida évoquait déjà le « double bind qui fait de toute mort un crime », déjouant ainsi cette distinction, censée garantir la frontière éthique entre l’euthanasie et la peine capitale. À travers une relecture de L’Arrêt de mort qui prend appui sur le Séminaire La peine de mort, cet article analyse la porosité des différentes déclinaisons de la mort lorsqu’elle est pensée comme crime, à commencer par l’arrêt, la peine et la sentence (ou « death sentence »).
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".