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Record W1975935443 · doi:10.1111/0023-8333.00184

Semantic and Conceptual Knowledge Underlying Bilingual Babies' First Signs and Words

2002· article· en· W1975935443 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

VenueLanguage Learning · 2002
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyLinguisticsNeuroscience of multilingualismAttributionPoint (geometry)Dual (grammatical number)Language acquisitionCognitive psychologySocial psychologyMathematics education

Abstract

fetched live from OpenAlex

We addressed the question of how babies exposed to two languages simultaneously acquire the meanings of words across their two languages. In particular, we attempted to shed new light on whether babies know that they are acquiring different lexicons right from the start, or whether early bilingual exposure causes them to be semantically confused. We propose a collection of research methods that, taken together, can answer these questions, which have hitherto received scant attention. Six hearing babies were videotaped for one hour on average seven times over one year (ages ranging from 0;7 to 2;2); three babies were acquiring French and English, and three French and LSQ. These populations offer unique insights into the semantic knowledge underlying bilingual as well as monolingual language acquisition. We found that the babies (1) acquired their two languages on the same timetable as monolinguals and (2) produced translation equivalents in their very first lexicons. Further, their early words (signs) in each language (3) were constrained along kind boundaries, (4) showed fundamentally similar semantic organization across their dual lexicons, and (5) reflected the meanings of their favorite things first. We also discuss why attributions that young bilinguals are delayed and confused have prevailed and we show that they are neither at this point in development. Finally, the present findings show how research of this type can provide a method for making bilingual norms wholly attainable.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.997

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)0.0040.000

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 head0.040
GPT teacher head0.305
Teacher spread0.265 · 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