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Record W4388458478 · doi:10.1177/10790632231210534

Inadequate Coping Strategies of Men who Have Committed Sexual Aggression Against Women: A Study of Their Developmental Antecedents

2023· article· en· W4388458478 on OpenAlexaffabout
Alexandre Gauthier, Caroline Deli, Etienne Garant, Jean Proulx

Bibliographic record

VenueSexual Abuse · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversité de MontréalInternational Centre for Comparative CriminologyInstitut national de psychiatrie légale Philippe-Pinel
Fundersnot available
KeywordsAggressionPsychologyCoping (psychology)AnxietyStructural equation modelingDevelopmental psychologySexual abuseClinical psychologyPoison controlSuicide preventionPsychiatryMedicine

Abstract

fetched live from OpenAlex

Several researchers have found that men who have committed sexual aggression have inadequate coping strategies (e.g., paraphilic sexual fantasies, substance abuse). However, very few researchers have empirically examined the factors potentially associated with the development of these strategies. In 2011, Maniglio hypothesized that the inadequate coping strategies of men who have committed sexual aggression are the result of childhood victimization, mediated by internalized psychological problems. The present study therefore empirically tested this hypothesis in a Canadian sample of 205 men who had committed sexual aggression against women, of whom 37 committed sexual murder. Structural equation modeling (SEM) resulted in the identification of several direct and indirect trajectories leading from childhood victimization (psychological, physical, sexual) to the development of inadequate coping strategies (paraphilic sexual fantasies, alcohol and drug use) mediated by internalized psychological problems (e.g., anxiety, depression, social isolation). The theoretical and clinical implications of these developmental trajectories are discussed.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.342
Teacher spread0.286 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

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