La GED : un outil francophone pour la détection des retards de développement chez les enfants de 0 à 5 ans
Bibliographic record
Abstract
Les enfants en situation de grande vulnérabilité ou victime de maltraitance seraient particulièrement à risque de retard de développement. La détection précoce de ces retards est primordiale pour assurer que ces enfants reçoivent les soins requis afin de leur permettre de rattraper les jalons développementaux manquants. La grille d’évaluation du développement de l’enfant de 0 à 5 ans (GED) est un outil de mesure qui permet le dépistage de retards du développement dans les domaines cognitifs, langagiers, moteurs et socioaffectifs. Cet article présente la structure, le protocole d’administration de la GED et les résultats des études de validation et de normalisation de l’outil. Il propose ensuite une discussion sur l’utilité de la GED dans la pratique auprès des familles et en recherche.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".