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Record W2484429243 · doi:10.1075/tilar.18.08pie

Chapter 7. Language loss or retention in internationally-adopted children

2016· book-chapter· en· W2484429243 on OpenAlex
Lara J. Pierce, Fred Genesee, Denise Klein

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

VenueTrends in language acquisition research · 2016
Typebook-chapter
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsCentre for Research on Brain Language and MusicMcGill University
Fundersnot available
KeywordsPhonologyLanguage acquisitionSecond-language attritionLanguage developmentDevelopmental linguisticsContext (archaeology)Comprehension approachLinguisticsPsychologyCognitionFirst languageSociology of languageLanguage transferOn LanguageLanguage assessmentSecond-language acquisitionDevelopmental psychologyLanguage educationHistoryMathematics education

Abstract

fetched live from OpenAlex

It is well known that the most active period for brain development and acquisition of native language phonology occurs within the first year of life. For children who continue to speak their native language, early phonological representations may create the framework for the acquisition of more complex language abilities. However, internationally-adopted (IA) children discontinue their birth language when they begin to acquire their adopted language and, thus, exposure to and use of the language that gave rise to these native language representations is not maintained. In this chapter, we discuss neuro-cognitive evidence for the loss of elements of adoptees’ birth language. The implications of the fate of the birth language are considered in the context of typical developmental processes that occur during the earliest stages of language acquisition. In particular, we consider the impact of early experiences with the birth language on second language development and processing in adoptees and in language learners in general.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.740
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1810.003

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 head0.059
GPT teacher head0.402
Teacher spread0.342 · 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