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Record W2110156079 · doi:10.1017/s136672890800391x

Bilingualism as a window into the language faculty: The acquisition of objects in French-speaking children in bilingual and monolingual contexts

2008· article· en· W2110156079 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBilingualism Language and Cognition · 2008
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeuroscience of multilingualismTransitive relationLexiconContext (archaeology)Variety (cybernetics)LinguisticsComputer sciencePsychologyArtificial intelligenceMathematicsHistory

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.296
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it