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Record W2149623397 · doi:10.1177/107906320501700203

Research on the Processes Involved in Treating Sexual Offenders

2005· article· en· W2149623397 on OpenAlexaff
Martin Drapeau

Bibliographic record

VenueSexual Abuse · 2005
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsPrisonPsychologyPsychotherapistResistance (ecology)CognitionClinical psychologyPsychiatryCriminology

Abstract

fetched live from OpenAlex

This article summarizes preliminary findings from a series of pilot studies on the processes involved in treating sexual offenders. Quantitative and qualitative methods were used on samples of 15 to 24 child molesters undergoing a prison-based cognitive-behavioral and relapse prevention treatment program. Results are presented and discussed in the form of 5 questions: (1) Are therapists just "technicians"? The offenders' point of view (2) Does confronting the therapist mean treatment resistance? (3) Are the therapists perceived as therapists, parents, or a bit of both? (4) Is the structure of the program important? The offenders' point of view and (5) Is a sense of mastery important in a prison setting? It is suggested that researchers investigate the processes underlying the treatment of offenders, especially the common factors which have been shown to have an effect on therapeutic outcome.

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)0.013
metaresearch head score (Gemma)0.051
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 score0.013
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.183
GPT teacher head0.446
Teacher spread0.263 · 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

Citations80
Published2005
Admission routes1
Has abstractyes

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