MétaCan
Menu
Back to cohort

Measuring Pragmatic Language in Speakers With Autism Spectrum Disorders: Comparing the Children’s Communication Checklist—2 and the Test of Pragmatic Language

2010· article· en· W2116294964 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

VenueAmerican Journal of Speech-Language Pathology · 2010
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChecklistAutismNonverbal communicationPsychologyTest (biology)Language impairmentDevelopmental psychologyLanguage developmentSpecific language impairmentLanguage assessmentCognitive psychology

Abstract

fetched live from OpenAlex

PURPOSE: To compare the Children's Communication Checklist-2 (CCC-2), a parent report instrument, with the Test of Pragmatic Language (TOPL), a test administered to the child, on the ability to identify pragmatic language impairment in speakers with autism spectrum disorders (ASD) who had age-appropriate structural language skills. METHOD: Sixteen rigorously diagnosed children with ASD were matched to 16 typically developing children on age, nonverbal IQ, and structural language skill. Both groups were given the TOPL, and their parents completed the CCC-2. RESULTS: The CCC-2 identified 13 of the 16 children with ASD as pragmatically impaired, while the TOPL identified only 9. Neither test identified any of the children in the control group as having pragmatic language impairment. CONCLUSIONS: In these children with ASD, who displayed age-appropriate structural language skills, the CCC-2 identified pragmatic language impairment better than the TOPL. Clinically, this can be useful in documenting the presence of language dysfunction when traditional standardized language assessments would not reveal communication problems.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.244
Teacher spread0.239 · 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