Racines sociostructurelles des statuts sociométriques chez les enfants en milieu scolaire
Bibliographic record
Abstract
Cette étude examine la distribution des nominations sociométriques selon l'organisation sociostructurelle de classes d'écoles élémentaires. Ont pris part à l'étude 75 filles et 71 garçons de neuf ans appartenant à deux contextes socioculturels (Montréal, Québec, et Toulouse, France). Les indices d'acceptation, de rejet, de préférence sociale et d'impact social (Coie et Dodge, 1983) ont été examinés en fonction de l'insertion sociale des enfants dans des réseaux affiliatifs établis sur la base d'un consensus. Les résultats appuient une interprétation des statuts sociométriques en tant que reflet de la dynamique des affinités au sein du groupe plutôt que comme caractéristiques intrinsèques aux individus. Ils sont discutés dans la perspective de l'écologie sociale des classes et des contraintes interpersonnelles canalisant l'adaptation et la réputation sociale des enfants.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| 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; both teacher heads agree on what is shown here.
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".