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Record W4285494850 · doi:10.1044/2022_jslhr-21-00596

Sentence Repetition Performance Differences in Bilingual and Monolingual Children

2022· article· en· W4285494850 on OpenAlexaff
Deanna C. Friesen, Olivia Ward, Lisa M. D. Archibald

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2022
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsSentenceRepetition (rhetorical device)PsychologyLinguisticsSyntaxPhraseVerbNoun phraseNounTask (project management)

Abstract

fetched live from OpenAlex

PURPOSE: This study examined language group differences in English syntactic knowledge based on performance on a sentence repetition task. METHOD: = 29) completed an English sentence repetition task. Their responses were analyzed as a function of sentence length (short vs. long), sentence type (active vs. passive), phrase type (noun, verb, and prepositional), and word type (content vs. function). RESULTS: Overall, early bilinguals' performance did not differ significantly from that of the monolinguals. However, these bilinguals recalled significantly more content words than function words on the long sentences. At each level of analysis, the late bilinguals' performance was less accurate than the other groups. The magnitude of these group differences was larger for passive sentences and prepositional phrases. CONCLUSION: Findings highlight areas of syntactic development that differ among groups and should be targeted for additional instruction with English language learners in elementary school.

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.

How this classification was reachedexpand

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.057
GPT teacher head0.369
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

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