Bilingualism as a window into the language faculty: The acquisition of objects in French-speaking children in bilingual and monolingual contexts
Bibliographic record
Abstract
Where do the two languages of the bilingual child interact? The literature has debated whether bilingual children have delays in the acquisition of direct objects. The variety of methods and languages involved have prevented clear conclusions. In a transitivity-based approach, null objects are a default structural possibility, present in all languages. Since the computation of lexical and syntactic transitivity depends on lexical acquisition, we propose a default retention hypothesis, predicting that bilingual children retain default structures for aspects of syntactic development specifically linked to lexical development (such as objects). Children acquiring French (aged 3;0–4;2, N = 34) in a monolingual context and a French/English bilingual context participated in a study eliciting optional and obligatory direct objects. The results show significant differences between the rates of omissions in the two groups for both types of objects. We consider two models of how the bilingual lexicon may determine the timetable of development of transitivity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".