Exploring the contribution of phonological memory to metasyntactic abilities in bilingual children
Bibliographic record
Abstract
The contribution of phonological memory to syntactic abilities has been demonstrated in various populations, but its relationship to metasyntactic abilities, defined as the ability to control syntactic aspects of language, remains largely unexplored. This study therefore aims to examine the contribution of phonological memory in the completion of two metasyntactic tasks: an ungrammatical sentence repetition and an error replication task. Eighty-three bilingual children (Mage = 10.5) completed the two metasyntactic tasks as well as tasks meant to control for lexical knowledge and syntactic abilities. A nonword repetition task measured phonological memory. Contrary to theoretical arguments which suggest that completion of both these tasks demonstrates the effect of phonological memory on metasyntactic abilities, the results show that phonological memory contributes significantly to metasyntactic abilities, only when measured by the repetition of ungrammatical sentences. Results suggest that different metasyntactic tasks rely differently on underlying linguistic and cognitive abilities.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".