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Record W2737203213 · doi:10.1177/1079063217720919

The Motivation-Facilitation Model of Sexual Offending

2017· article· en· W2737203213 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSexual Abuse · 2017
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsExhibitionismVoyeurismPsychologyParaphiliaFacilitationPornographyDevelopmental psychologyStalkingPsychosexual developmentTraitPersonalitySocial psychologySexual behaviorCriminologyPsychiatry

Abstract

fetched live from OpenAlex

In this article, I describe the motivation-facilitation model of sexual offending, which identifies the traits of paraphilia, high sex drive, and intense mating effort as primary motivations for sexual offenses, as well as trait (e.g., antisocial personality) and state (e.g., intoxication) factors that can facilitate acting on these motivations when opportunities exist. Originally developed to explain contact sexual offending against children, the motivation-facilitation model was subsequently extended as an explanation for child pornography offending and for online solicitations of young adolescents. Here, I argue it has the potential to be expanded to explain other forms of sexual offending, including sexual assaults of adults and noncontact offenses involving exhibitionism or voyeurism. In this review, I critically examine the evidence for and against the model, discuss its limitations, and identify critical gaps for future research.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.489

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 science0.0010.000
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 head0.113
GPT teacher head0.368
Teacher spread0.255 · 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