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Record W2881497572 · doi:10.1044/2018_lshss-17-0094

The Reciprocal Influences of Working Memory and Linguistic Knowledge on Language Performance: Considerations for the Assessment of Children With Developmental Language Disorder

2018· article· en· W2881497572 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

VenueLanguage Speech and Hearing Services in Schools · 2018
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsWorking memoryPsychologyReciprocalCognitive psychologyLinguisticsShort-term memoryDevelopmental linguisticsDevelopmental psychologyCognitionComprehension approachLanguage educationPedagogy

Abstract

fetched live from OpenAlex

Purpose: This article considers how the language performance of school-age children with language impairments, such as developmental language disorder, is influenced by the reciprocal relationship of existing linguistic knowledge and working memory resources and the resultant implications for assessment. Method: A viewpoint is provided by reviewing working memory theory, empirical evidence of the reciprocal relationship between working memory and existing language knowledge, and critically evaluating available standardized and nonstandardized tools designed to assess working memory or linguistic skills. Conclusions: Speech-language pathologists with an excellent understanding of the reciprocal relationship between working memory and linguistic knowledge will need to examine performance across tasks and contexts varying in these demands in order to achieve an accurate clinical profile of relevant strengths and weaknesses for individual children.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.416

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 head0.020
GPT teacher head0.329
Teacher spread0.309 · 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