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The Effect of Cognitive Behavior Therapy on Decision Making in Adolescents who Self‐Harm: A Pilot Study

2012· article· en· W2128993751 on OpenAlexaff
Anna Oldershaw, Mima Simic, Emanuela Maria Grima, Fabrice Jollant, Clair Richards, Lucy Taylor, Ulrike Schmidt

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2012
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsIowa gambling taskHarmPsychologyCognitionExploratory researchClinical psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Research shows poor decision making in adolescents who self-harm and a positive correlation between decision-making abilities and duration since last self-harm episode. This exploratory study investigated whether decision making in self-harming adolescents could be improved through treatment with a novel cognitive behavior therapy (CBT). It also investigated whether improvement in decision making following treatment was linked to self-harm cessation. Adolescent self-harmers receiving CBT (n = 24) or no treatment (n = 9) and healthy controls (n = 22) were longitudinally compared on the Iowa gambling task (IGT). Significant IGT improvements were only observed for adolescents who self-harm following CBT. CBT may benefit adolescent self-harmers and generate decision-making improvements.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.063
GPT teacher head0.386
Teacher spread0.323 · 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.

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

Citations23
Published2012
Admission routes1
Has abstractyes

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