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Social (Pragmatic) Communication Disorder in Children With Specific Language Impairment

2023· book-chapter· en· W4387667394 on OpenAlexaff
Rokhsareh Kakvand

Bibliographic record

VenueAdvances in psychology, mental health, and behavioral studies (APMHBS) book series · 2023
Typebook-chapter
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsAutism spectrum disorderSpecific language impairmentPsychologyLanguage impairmentSocial communicationDiagnostic accuracyDiagnostic testPsychiatryAutismMedicineDevelopmental psychologyPediatrics

Abstract

fetched live from OpenAlex

Social communication disorder (SCD) has a rich history of different definitions and terms. It was known under the diagnostic label pragmatic language impairment, but it is currently known as SCD in the Diagnostic and Statistical Manual of Mental Disorder. It is not clear if this language impairment is actually a separate diagnostic entity or an autism spectrum disorder (ASD) owing to a massive lack of clarification on this term and its diagnostic criteria. As such, the diagnostic criteria and treatment of SCD are limited. The aim of this review is to clarify the related literature of SCD and ASD, focusing on pragmatic disorder and their overlaps. In addition, there is no clear-cut distinction between SCD and ASD, despite the recent increase in research into the diagnostic criteria and tools for both of these language impairments. Therefore, the relationship between SCD and ASD should be further explored.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.055
GPT teacher head0.429
Teacher spread0.374 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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