La connaissance des catégories de genre et des stéréotypes sexués chez le jeune enfant
Bibliographic record
Abstract
RÉSUMÉ Dans ce bref article, nous passons en revue les plus récents travaux portant sur la façon dont les nourrissons et les jeunes enfants catégorisent les hommes et les femmes et acquièrent une connaissance des caractéristiques propres à chacun des sexes. Dès l’âge de 12 mois, les nourrissons distinguent les deux sexes en se basant sur l’apparence physique. On observe une connaissance naissante des jouets, activités et métaphores reliés à chaque sexe dès l’âge de 18 mois. Des formes rudimentaires d’un schéma de genre sont donc observables à un âge remarquablement précoce, ce qui concorde avec l’approche cognitiviste sur le développement du concept de genre.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".