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Record W2588614039 · doi:10.1177/0886260517691523

The Influence of Fantasy Proneness, Dissociation, and Vividness of Mental Imagery on Male’s Aggressive Sexual Fantasies

2017· article· en· W2588614039 on OpenAlexaff
Ross M. Bartels, Leigh Harkins, Anthony R. Beech

Bibliographic record

VenueJournal of Interpersonal Violence · 2017
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsPsychologyFantasySexual abuseDissociation (chemistry)Developmental psychologyStructural equation modelingClinical psychologyPoison controlHuman factors and ergonomics

Abstract

fetched live from OpenAlex

Many researchers have studied the prevalence and content of men's aggressive sexual fantasies, including their link with rape-supportive cognition. However, little to no research has examined the link between imaginal ability and the use of such fantasies. Based on existing research and theory, we propose that men who hold hostile beliefs toward women will use aggressive sexual fantasies more often if they possess a greater ability to engage in a "rich fantasy life." Operationally, we argue this involves (a) a proneness to fantasize in general, (b) an ability to vividly envision mental imagery, and (c) frequent experiences of dissociation. To test this, the present study hypothesized that a latent variable termed "rich fantasy life," via "hostile beliefs about women," influences the use of "aggressive sexual fantasies." A sample of 159 community males was recruited. Each participant completed a measure of fantasy proneness, dissociation, and vividness of mental imagery, along with two measures that assess hostile beliefs about women. Assessing how often the participants fantasized about rape-related and sadistic themes provided a measure of aggressive sexual fantasies. Structural equation modeling (along with bootstrapping procedures) indicated that the data had a very good fit with the hypothesized model. The results offer an important contribution to our understanding of aggressive sexual fantasies, which may have implications for clinical assessment and treatment. The limitations of the study are discussed, along with suggestions 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.341
Teacher spread0.322 · 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 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

Citations14
Published2017
Admission routes1
Has abstractyes

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