Comment se configurent les compétences dans un métier au féminin? Le cas des assistantes maternelles
Bibliographic record
Abstract
Cet article traite des compétences mobilisées par des femmes qui gardent chez elles de jeunes enfants, appelées en France, assistantes maternelles. Cette activité, encadrée légalement par la délivrance d'un agrément conféré par les services de la Protection maternelle et infantile, s'exerce sans formation préalable et suppose la préexistence chez ces femmes de compétences « féminines » ou « maternelles » considérées suffisantes pour garder des enfants. La recherche conduite dans une banlieue de Paris permet de démontrer qu'en période de chômage, ces seules compétences sont insuffisantes pour assurer du travail à toutes les assistantes maternelles agréées. C'est au contraire la mobilisation de compétences et de savoir-faire sociaux (aisance dans l'espace public, serendipity), tout comme des compétences subjectives (engagement) qui peuvent favoriser l'accès au métier.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".