Soi émotionnel d’enfants ayant une déficience intellectuelle : comment l’évaluer et en identifier les variabilités?
Bibliographic record
Abstract
Cet article présente une échelle d’évaluation de la perception du soi émotionnel adaptée au niveau préscolaire. L’analyse psychométrique préliminaire montre une structure en deux facteurs d’une cohérence interne satisfaisante (sous-étude 1A) ainsi que la stabilité des réponses des enfants et leurs compétences langagières suffisantes pour comprendre les items de l’échelle (sous-étude 1B). L’étude 2 compare le soi émotionnel de 45 enfants ayant une déficience intellectuelle (DI) à celui de 45 enfants tout-venant (TV) appariés en âge développemental. Les résultats soutiennent l’hypothèse de retard de développement du soi émotionnel des enfants DI. Contrairement aux enfants TV, leur âge chronologique ou développemental n’est pas lié à l’autoperception de leur soi émotionnel; aucune différence n’est obtenue entre l’autoperception et l’hétéroperception de l’enseignant.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".