Entre être et devenir femme ; trajectoires de précarité féminine et désindustrialisation en France et en Italie
Bibliographic record
Abstract
En partant de la confrontation entre itinéraires de précarisation de femmes peu ou pas qualifiées, l’article propose une discussion sur la précarisation ‘au féminin’. Il s’agit d’une comparaison d’itinéraires de femmes en milieu rural, en France et en Italie. Deux catégories d’itinéraires sont mis en confrontation, les interruptions de l’activité et le travail familial qui affectent directement l’emploi des femmes, et la transformation de la structure productive locale qui peut aussi entraîner la précarisation de la main-d’œuvre féminine non qualifiée. Par la confrontation entre les influences de la famille, du marché et de l’Etat social sur les différents types d’itinéraires de précarisation dans les deux Etats, nous allons approfondir le rapport entre conceptualisations du genre et désindustrialisation locale.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".