Changement de fonction des éléments prosodiques au cours du développement : du tout vers la partie et de la partie vers le tout
Bibliographic record
Abstract
Résumé Le nourrisson est confronté à un flux de parole qui forme un tout continu. La prosodie lui fournit divers indices lui offrant la possibilité de comprendre comment se structure ce flux. Cette sensibilité précoce permet au nourrisson de dégager les propriétés rythmiques de sa propre langue et lui donne des indices lui servant à regrouper des sons qui font sens grammaticalement – tout d’abord de grandes unités syntaxiques, notamment les expressions et les propositions, avant de pouvoir trouver des indices linguistiques spécifiques lui permettant d’identifier des mots. Ces indices qui permettent au nourrisson de repérer la segmentation des unités grammaticales l’amènent à se concentrer sur les relations pertinentes entre ces unités. À mesure que ses connaissances grammaticales se développent, il arrive à repérer des propriétés prosodiques plus subtiles, notamment les indices caractéristiques d’une dysfluence. Les paroles adressées au nourrisson présentent le plus souvent des indices prosodiques exagérés alors que les échanges entre adultes fournissent un modèle plus exact.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".