La banalité du mâle. Louis Althusser a tué sa conjointe, Hélène Rytmann-Legotien, qui voulait le quitter
Bibliographic record
Abstract
L’article propose un retour sur l’assassinat, en 1980, d’Hélène Rytmann-Legotien par son mari, Louis Althusser, alors célèbre philosophe marxiste enseignant à l’École normale supérieure, à Paris. Il s’agit de saisir la signification politique de ce meurtre et du discours psychologisant diffusé dans l’espace public pour déresponsabiliser, voire justifier, le meurtrier. À la lumière d’analyses féministes des discours sur la violence masculine contre les femmes (Mélissa Blais, Patrizia Romito, Jalna Hanmer), l’article rappelle le contexte social du meurtre (le patriarcat français dans les années 1970 et 1980), avant de discuter du phénomène de protection et de solidarité masculine dont peut bénéficier un homme qui assassine son épouse mais qui est doté d’un fort capital social et culturel. Une attention particulière est portée aux manœuvres par lesquelles le meurtrier et ses alliés ou amis parviennent à le faire paraître comme victime et à faire disparaître dans son ombre la véritable victime assassinée.
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 | 0.002 | 0.004 |
| 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 | 0.017 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".