Omission des déterminants : Contraintes d’alternances rythmiques ou contraintes liées aux niveaux supérieurs de la structure prosodique
Bibliographic record
Abstract
Abstract This article focuses on whether determiner omission by two-year-old children is constrained at the level of the prosodic foot or whether it is a function of the different levels of the prosodic hierarchy. Nine French-speaking children aged 2;0 to 2;7 were asked to repeat 54 four- or five-word sentences of the form “Pronoun V NP” with three conditions: a) det + monosyllabic noun; b) det + bisyllabic noun; c) det + monosyllabic adjective + monosyllabic noun. The results show 1) more determiner omission in condition b than in a; 2) more determiner omission in c than in b. It is shown that determiner omission is not accounted for by a low-level stress-alternation constraint and that the level of prosodic structure to which the determiner is attached plays a role in determiner omission.
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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 | 0.014 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".