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Record W2418340548 · doi:10.1017/s030500091600026x

Bilingual children's lexical strategies in a narrative task

2016· article· en· W2418340548 on OpenAlex
Poliana Gonçalves Barbosa, Elena Nicoladis, Margaux Keith

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Child Language · 2016
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyLexicalizationNarrativeNeuroscience of multilingualismTask (project management)LinguisticsDevelopmental psychologyCognitive psychology

Abstract

fetched live from OpenAlex

We investigated how bilinguals choose words in a narrative task, contrasting the possibilities of a developmental delay vs. compensatory strategies. To characterize a developmental delay, we compared younger (three to five years) and older (seven to ten years) children's lexicalization of target words (Study 1). The younger children told shorter stories, omitting many of the target concepts. To characterize compensatory strategies, we compared late second language learning adults to (seven- to ten-year-old) monolingual children (Study 2). The adults often lexicalized the target concepts even when not producing the target words. Finally, we compared French-English bilingual children with French and English monolinguals, all seven to ten years old (Study 3). The bilinguals produced fewer target words than the monolinguals. However, when not producing the target words, the bilinguals often lexicalized the concepts, sharing more in common with the adults (Study 2) in their use of compensatory strategies than with the younger children (Study 1). This interpretation was further corroborated by comparisons across studies (Study 4).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.919

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 head0.007
GPT teacher head0.305
Teacher spread0.298 · 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