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Record W2112082329 · doi:10.1177/107906320501700107

Developing Empathy in Sexual Offenders: The Value of Offence Re-Enactments

2005· article· en· W2112082329 on OpenAlexaff
Stephen D. Webster, Louise Bowers, Ruth E. Mann, William L. Marshall

Bibliographic record

VenueSexual Abuse · 2005
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsEmpathyCriminologyPsychologyValue (mathematics)Social psychologySociologyComputer science

Abstract

fetched live from OpenAlex

This paper describes an evaluation of different uses of role-play to enhance victim-specific empathy in sexual offenders. Thirty-three men participated in a treatment program involving offence re-enactment as described by Pithers (1994) and Mann, Daniels, and Marshall (2002). A matched group of 33 men participated in a treatment program that was identical in all respects except that they did not complete offence re-enactments. Instead, they completed extra role-plays designed to enhance empathy for the short and long-term consequences for their victim(s). Results indicated that completing an offence re-enactment led to slightly better ability to identify some types of negative consequences for abuse victims, and identify cognitive distortions about their offending and women per se. Rapists in particular seemed more likely to benefit from offence re-enactment. The non-reenactment group showed better understanding of lifestyle disruption effects for sexual abuse victims. The differences between the groups were not very marked, and the study only involved measures of cognitive empathy. Given the concerns about offence re-enactment expressed by Pithers (1997), this procedure should be used with caution and future investigations should test specifically for possible signs of damage caused by the procedure.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.059
GPT teacher head0.342
Teacher spread0.283 · 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 designQualitative
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

Citations34
Published2005
Admission routes1
Has abstractyes

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