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Record W2038033320 · doi:10.1111/cpsp.12084

Transdiagnostic case conceptualization of emotional problems in youth with ASD: An emotion regulation approach.

2014· article· en· W2038033320 on OpenAlex
Jonathan A. Weiss

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClinical Psychology Science and Practice · 2014
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsYork University
FundersCanadian Institutes of Health ResearchHealth CanadaSinneave Family FoundationAutism SpeaksChildren Neurodevelopmental Disorders Network
KeywordsPsychologyConceptualizationAngerPsychological interventionAnxietyAutism spectrum disorderClinical psychologyCognitionIntervention (counseling)Cognitive reappraisalPsychotherapistAutismDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Youth with autism spectrum disorder often struggle to cope with co-occurring anxiety, depression, or anger, and having both internalizing and externalizing symptoms is a common clinical presentation. A number of authors have designed cognitive-behavioral interventions to address transdiagnostic factors related to multiple emotional problems, although none have applied this focus to youth with ASD. The current review article describes how a transdiagnostic emotion regulation framework may inform cognitive-behavioral interventions for youth with ASD, which until now have focused almost exclusively on anxiety. Research is needed to empirically test how a transdiagnostic intervention can address the processes of emotion regulation and assist youth with ASD to cope with their emotional disorders.

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)0.007
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.248
GPT teacher head0.478
Teacher spread0.230 · 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