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Record W1973654757 · doi:10.1375/bech.20.2.117.24839

Willingness, Confidence, and Knowledge to Work with Adolescent Sex Offenders: An Evaluation of Training Workshops

2003· article· en· W1973654757 on OpenAlexaff
Mark R. Dadds, Stephen Smallbone, Ian A Nisbet, Julie Dombrowski

Bibliographic record

VenueBehaviour Change · 2003
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsWorkforceMental healthPsychological interventionPsychologyWork (physics)PopulationTraining (meteorology)Medical educationClinical psychologyApplied psychologyMedicinePsychiatryEnvironmental healthEngineeringPolitical science

Abstract

fetched live from OpenAlex

Abstract Increasing attention is being paid to best practice in mental health sciences. One crucial aspect of this is the extent to which the mental health workforce has the knowledge and skills to implement state-of-the-art interventions. Recently, evidence has indicated that sexual offending often begins in adolescence, can be a persistent disorder when left untreated, and is associated with a range of other mental health problems in the perpetrator and subsequently in victims. A small number of evaluations of treatment programs are appearing but little work has appeared addressing the issue of how the workforce is equipped, or can be trained, to work with this challenging population. In this paper we present data on the effects of training on knowledge, skills, confidence, and willingness, to work with this client group. Trainees were 107 mental health workers who attended training workshops provided throughout Queensland, Australia by the Griffith Adolescent Forensic Assessment and Treatment Centre. Results showed that the measures developed for assessing training effects were change sensitive and valid. Training was associated with increases in self-rated skills, confidence, knowledge, and willingness to work with this population, and these changes were maintained for the follow-up sample.

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)0.007
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.343
GPT teacher head0.436
Teacher spread0.093 · 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

Citations5
Published2003
Admission routes1
Has abstractyes

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