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Record W2140522870 · doi:10.1017/s0142716409990488

An integrated approach to the study of specific language impairment and bilingualism

2010· article· en· W2140522870 on OpenAlexaff
Kathleen F. Peets, Ellen Bialystok

Bibliographic record

VenueApplied Psycholinguistics · 2010
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsYork University
Fundersnot available
KeywordsNeuroscience of multilingualismPsychologyDevelopmental linguisticsSet (abstract data type)Second-language acquisitionLinguisticsConsistency (knowledge bases)Domain (mathematical analysis)Language acquisitionCognitive psychologySpecific language impairmentCognitionFirst languageSecond-language attritionCognitive scienceComprehension approachComputer scienceArtificial intelligenceLanguage educationMathematics education

Abstract

fetched live from OpenAlex

The debate over the characterization of specific language impairment (SLI) is fundamental to theoretical linguistics and, more broadly, to the whole of cognitive science. It is built directly out of the pervasive question regarding the extent to which language ability is best considered as a domain-specific set of skills or as the outcome of various domain-general processes. Therefore, an examination of this issue in conjunction with bilingual language acquisition, a situation that naturally entangles both linguistic and cognitive systems, is a powerful forum for exploring these basic theoretical questions. Paradis' Keynote Article is a substantial contribution to this enterprise: it provides a thorough review of the literature on bilingualism and SLI, and in so doing, evaluates the evidence in terms of its consistency with the maturational model that follows from the tradition of domain-specific language acquisition and the limited processing capacity (LPC) theory, a more domain-general approach. Her extensive review of the literature shows that both second language (L2) learning and bilingualism produce language proficiency profiles that are not identical to those found in SLI, and therefore support neither approach. In our view, the problem is in the attempt to dichotomize language ability as being controlled by either domain-specific or domain-general factors. A more inclusive approach to language ability, especially regarding bilingualism and L2 learning, would set out different criteria for evaluating language development other than the strictly linguistic features used in Paradis' analyses. Such an analysis may lead to a clearer identification of how these experiences uniquely affect language outcomes.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.017
GPT teacher head0.319
Teacher spread0.302 · 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 designQualitative
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

Citations11
Published2010
Admission routes1
Has abstractyes

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