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Record W2084144765 · doi:10.1177/1359104508090606

Evaluation of a Targeted Cognitive-Behavioral Program for Children with Conduct Problems — The SNAP® Under 12 Outreach Project: Service Intensity, Age and Gender Effects on Short- and Long-Term Outcomes

2008· article· en· W2084144765 on OpenAlexaff
Christopher J. Koegl, David P. Farrington, Leena K. Augimeri, David M. Day

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2008
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCBCLChild Behavior ChecklistJuvenile delinquencyPsychologyOutreachAggressionClinical psychologyPoison controlChecklistCognitionDevelopmental psychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

This study tested the effectiveness of a multifaceted, cognitive-behavioral therapy (CBT) program for antisocial children--the SNAP Under 12 Outreach Project (ORP)--in relation to age, sex and indices of treatment intensity. Study participants were 80 clinic-referred children (59 boys and 21 girls) aged 6-11 years assigned to one of the following groups: control (CG; n = 14) who did not receive the ORP, matched (MG; n = 50) who received the ORP, and experimental (EG; n = 16) who received an enhanced version of the ORP. Results indicated significant pre-post changes for the EG and MG for Child Behavior Checklist (CBCL)-measured delinquency and aggression, but no improvement for the CG. Positive relationships between the number of individual ORP components (e.g. number of children's CBT sessions) received and CBCL change scores were also found. Statistical associations tended to be larger for girls and older children (i.e. 10-11 years old) who may have been more cognitively advanced. Also, the number of children's CBT sessions predicted later convictions, even after controlling for prior CBCL delinquency scores. Findings from this study support the effectiveness of the ORP, but also highlight the need to take into account client characteristics when offering clinical treatment.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.959

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 studies0.0000.001
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 head0.245
GPT teacher head0.462
Teacher spread0.217 · 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

Citations49
Published2008
Admission routes1
Has abstractyes

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