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Record W2139466300 · doi:10.1017/s1366728911000113

Object clitics and their omission in child L2 French: The contributions of processing limitations and L1 transfer

2011· article· en· W2139466300 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 · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCliticObject (grammar)PsychologyLinguisticsComprehensionTask (project management)Negative transferTransfer (computing)Cognitive psychologyFirst languageComputer science

Abstract

fetched live from OpenAlex

This article explores the widely documented difficulty with object clitics in the acquisition of French. The study investigates the effects of L1 transfer and processing limitations on the production and comprehension of object clitics in child L2 learners of French with different L1 backgrounds (Chinese, Spanish). The Spanish-speaking learners performed better than Chinese-speaking learners on clitic-related tasks, indicating a facilitative effect of transfer when the L1 also has object clitics. Yet no evidence was found for (negative) transfer of null objects from Chinese to French, as learners consistently rejected interpretations requiring referential null objects on a receptive task. The frequency of Chinese-speaking learners’ object omissions in production was negatively correlated with an independent measure of working memory (backward digit span), consistent with the hypothesis that object clitic omission is affected by processing limitations. These findings are discussed within a psycholinguistic model of syntactic encoding during language 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.049
GPT teacher head0.273
Teacher spread0.224 · 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