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Record W2007459467 · doi:10.1017/s0305000912000402

Acquisition of English grammatical morphology by internationally adopted children from China

2012· article· en· W2007459467 on OpenAlexaff
Lara J. Pierce, Fred Genesee, Johanne Paradis

Bibliographic record

VenueJournal of Child Language · 2012
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of AlbertaMcGill University
Fundersnot available
KeywordsMorphemeLinguisticsPsychologyPast tenseLanguage acquisitionMorphophonologyPhonologyVerbMathematics education

Abstract

fetched live from OpenAlex

Acquisition of English grammatical morphology was examined in five internationally adopted (IA) children from China (aged 0;10-1;1 at adoption) during the first three years' exposure to English to determine whether acquisition patterns were characteristic of child second language (L2) learners or monolingual first language (L1) learners. Results from spontaneous and elicited speech showed that IA children acquired grammatical morphemes similarly to L1 learners; namely, (1) non-tense-marking morphemes were acquired earlier than tense-marking morphemes; (2) BE was acquired in synchrony with other tense-marking morphemes; and (3) a high percentage of omission errors and a low percentage of commission errors were observed.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.995

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)0.0060.000

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 head0.004
GPT teacher head0.249
Teacher spread0.245 · 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.

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
Published2012
Admission routes1
Has abstractyes

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