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Record W2038742947 · doi:10.1177/1524838001002002003

Empathy and Its Influence on Sexual Misconduct

2001· article· en· W2038742947 on OpenAlexaff
Cheryl Regehr, Graham Glancy

Bibliographic record

VenueTrauma Violence & Abuse · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmpathySexual misconductPsychologyRecidivismMisconductSimulation theory of empathySocial psychologyCognitionClinical psychologyCriminologyPsychiatry

Abstract

fetched live from OpenAlex

A deficit in empathy is generally regarded as a factor that contributes to the occurrence of sexual offenses and sexual boundary violations. As a result, many experts recommend empathy training as a part of any program that attempts to reduce recidivism among offenders. Considerable controversy exists, however, with regard to the definition of empathy, the actual influence of empathy on sociopathic behavior, and whether empathy can indeed be taught. This article provides a review of the literature concerning some of these controversial issues, concluding with a proposed model for empathy training for professionals who engage in sexual misconduct based on the theoretical and empirical data available. The model incorporates the following four key aspects of empathy training: developing cognitive awareness, enhancing emotional responsiveness, self-awareness, and modeling of empathic responses.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.055
GPT teacher head0.343
Teacher spread0.288 · 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 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

Citations12
Published2001
Admission routes1
Has abstractyes

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