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Record W2103318457 · doi:10.1352/1944-7558-114.5.307

Correlated and Coupled Within-Person Change in Emotional and Behavioral Disturbance in Individuals With Intellectual Disability

2009· article· en· W2103318457 on OpenAlexaff
Scott M. Hofer, Kylie M. Gray, Andrea M. Piccinin, Andrew Mackinnon, Daniel E. Bontempo, Stewart Einfeld, Lesa Hoffman, Trevor R. Parmenter, Bruce J. Tonge

Bibliographic record

VenueAmerican Journal on Intellectual and Developmental Disabilities · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversity of Victoria
FundersNational Institute of Mental Health
KeywordsIntellectual disabilityPsychologyDisturbance (geology)PsychopathologyDevelopmental psychologyLongitudinal studyChecklistVariation (astronomy)Clinical psychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

Individual change and variation in emotional/behavioral disturbance in children and adolescents with intellectual disability has received little empirical investigation. Based on 11 years of longitudinal data from the Australian Child to Adult Development Study, we report associations among individual differences in level, rate of change, and occasion-specific variation across subscales of the Developmental Behavior Checklist (DBC) with 506 participants who had intellectual disability and were ages 5 to 19 years at study entry. Correlations among the five DBC subscales ranged from .43 to .66 for level, .43 to .88 for rate of change, and .31 to .61 for occasion-specific variation, with the highest correlations observed consistently between disruptive, self-absorbed, and communication disturbance behaviors. These interdependencies among dimensions of emotional/behavioral disturbance provide insight into the developmental dynamics of psychopathology from childhood through young adulthood.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.021
GPT teacher head0.254
Teacher spread0.233 · 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

Citations15
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal on Intellectual and Developmental DisabilitiesSame topicGenetics and Neurodevelopmental DisordersFrench-language works237,207