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Record W2091835662 · doi:10.1017/s0305000902005366

What's the difference between ‘toilet paper’ and ‘paper toilet’? French-English bilingual children's crosslinguistic transfer in compound nouns

2002· article· en· W2091835662 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

VenueJournal of Child Language · 2002
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyLinguisticsNounComprehensionAmbiguityNeuroscience of multilingualismLanguage acquisitionLanguage transferTransfer of trainingCognitive psychologyComprehension approachLanguage educationMathematics education

Abstract

fetched live from OpenAlex

Bilingual acquisition can shed light on the cues children used in acquiring language. The purpose of this paper was to examine whether frequency, ambiguity or language dominance could explain crosslinguistic transfer in compound nouns. Crosslinguistic transfer would appear in the form of compound reversals. 25 monolingual English children between the ages of three and four years and 25 age-matched French-English bilingual children were asked to create and indicate their understanding of novel compound nouns. In production, the bilingual children reversed compounds in English more often than the monolingual children but equally often in French and English. In comprehension, there were no differences between groups. These results cannot be explained by any previous explanation of transfer. Implications for the theory of language acquisition are discussed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.998

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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