Le vieillissement au féminin et au masculin chez Simone de Beauvoir
Bibliographic record
Abstract
Le vieillissement est un thème majeur et mal connu de l’oeuvre de Simone de Beauvoir. Elle y revient en permanence dans tous ses écrits, y consacre à titre principal certains de ses ouvrages (dont La vieillesse ). Son mérite est de réintégrer les femmes dans une analyse globale de la vieillesse qui en considère tous les aspects, biologiques, sociaux, psychologiques… Simone de Beauvoir évalue les effets de la vieillesse communs aux deux sexes et la situation particulière à chacun. Pour qu’il n’y ait plus de personnes exclues, elle appelle à modifier les rapports sociaux de sexe et entre les générations : « changer la vie ».
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".