MétaCan
Menu
Back to cohort
Record W2163900258 · doi:10.1017/s136672890500235x

Cross-linguistic transfer in adjective–noun strings by preschool bilingual children

2006· article· en· W2163900258 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 · 2006
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAdjectiveLinguisticsNounPsychologyAmbiguityPhilosophy

Abstract

fetched live from OpenAlex

One hypothesis holds that bilingual children's cross-linguistic transfer occurs in spontaneous production when there is structural overlap between the two languages and ambiguity in at least one language (Döpke, 1998; Hulk and Müller, 2000). This study tested whether overlap/ambiguity of adjective–noun strings in English and French predicted transfer. In English, there is only one order (adjective–noun) while in French both adjective–noun and noun–adjective order are allowed, with the latter as the default. Unidirectional transfer from English to French was predicted. 35 French–English preschool bilingual children (and 35 age-matched English monolinguals and 10 French monolinguals) were asked to name pictures by using an adjective–noun string. In addition to the reversing adjective–noun strings in French as predicted by the overlap/ambiguity hypothesis, the bilingual children reversed more adjective–noun strings in English than monolinguals. It is proposed that cross-linguistic transfer might better be understood as an epiphenomenon of speech production.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.275
Teacher spread0.270 · 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