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Referential Communication in Children With ADHD: Challenges in the Role of a Listener

2012· article· en· W2033688806 on OpenAlexaff
Elizabeth S. Nilsen, Leilani Mangal, Kristi MacDonald

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2012
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyTask (project management)Perspective (graphical)Typically developingObject (grammar)Developmental psychologyCognitive psychologyEye movementMeaning (existential)Nonverbal communicationAttention deficit hyperactivity disorderLinguisticsAutismClinical psychology

Abstract

fetched live from OpenAlex

PURPOSE: Successful communication requires that listeners accurately interpret the meaning of speakers' statements. The present work examined whether children with and without attention-deficit/hyperactivity disorder (ADHD) differ in their ability to interpret referential statements (i.e., phrases that denote objects or events) from speakers. METHOD: Children (6 to 9 years old), diagnosed with ADHD (n = 27) and typically developing (n = 26), took part in an interactive task in which they were asked by an adult speaker to retrieve objects from a display case. Children interpreted the referential statements in contexts that either did or did not require perspective-taking. Children's eye movements and object choices were recorded. Parents completed questionnaires assessing their child's frequency of ADHD symptoms and pragmatic communicative abilities. RESULTS: Behavioral and eye movement measures revealed that children with ADHD made more interpretive errors and were less likely to consider target referents across the 2 communicative conditions. Furthermore, ADHD symptoms related to children's performance on the communicative task and to parental report of the child's pragmatic skills. CONCLUSION: Children with ADHD are less accurate in their interpretations of referential statements. Such difficulties would lead to greater occurrences of miscommunication.

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)0.002
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 score0.056
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.155
GPT teacher head0.422
Teacher spread0.267 · 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 designObservational
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

Citations28
Published2012
Admission routes1
Has abstractyes

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