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Record W7133039802

Seeking cognitive markers of specific language impairment and attention-deficit/hyperactivity disorder

2003· dissertation· W7133039802 on OpenAlexfundno aff
Janis Elizabeth Oram

Bibliographic record

VenueTSpace · 2003
Typedissertation
Language
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
FundersHospital for Sick ChildrenUniversity of Toronto
KeywordsSpecific language impairmentDysfunctional familyCognitionAttention deficit hyperactivity disorderLanguage impairmentTypically developingEl NiñoLanguage disorder
DOInot available

Abstract

fetched live from OpenAlex

Specific Language Impairment (SLI) and Attention-Deficit /Hyperactivity Disorder (ADHD) frequently co-occur. Surface similarities (e.g., not "listening") can complicate discriminating between them. However, underlying basic processing dysfunctions may differentiate these disorders. Promising candidates from the literature included impaired processing of brief acoustic information (rapid temporal processing, RTP) or generalized slowing in SLI, and impaired inhibition or extremely variable response speed in ADHD. However, the uniqueness of these dysfunctions to each disorder was unclear. Using key design elements not well-considered in past research, primary objectives were to (1) clarify the uniqueness of dysfunctional RTP and generalized slowing to SLI by excluding ADHD from a sample of children with SLI (Study One), confirming these dysfunctions in SLI (Study One), and examining these processes in children with ADHD (Study Two); and (2) clarifying the uniqueness of impaired inhibition and extreme response variability to ADHD by excluding SLI from a sample of children with ADHD (Study Two), confirming these dysfunctions in ADHD (Study Two), and examining these processes in SLI (Study One). In Study One, fourteen 7-11 year olds who had receptive-expressive SLI without concurrent ADHD and 14 children with typical development (TD) were administered measures of language and behaviour, and performed experimental tasks targeting the four candidate processes. In Study Two, fourteen 6-11 year olds who had ADHD without concurrent SLI and 14 children with TD participated in an identical protocol. As predicted, only children with SLI differed significantly from children with TD in RTP. However, some individual children with ADHD and TD had substantial RTP impairments. Unexpectedly, both children with SLI and children with ADHD were slow on some speeded tasks. As predicted, only children with ADHD showed extreme response variability. Unexpectedly, only children with SLI differed significantly from children with TD in inhibition, although many individual children with ADHD showed impaired inhibition. Findings suggested that further pursuit is warranted of extreme response variability as a cognitive marker of ADHD; the role of RTP impairments in SLI, ADHD, and TD requires further examination; process-specific slowing and poor inhibition may be present in both SLI and ADHD; and these disorders may not be fully dissociable.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.338
Teacher spread0.319 · 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 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

Citations0
Published2003
Admission routes1
Has abstractyes

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