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Record W7011366672

Mechanisms Contributing to the Specificity of Gynephilic Men’s Sexual Responses

2018· dissertation· en· W7011366672 on OpenAlexaff

Bibliographic record

VenueQSpace (Queen's University Library) · 2018
Typedissertation
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsSexual arousalArousalAffect (linguistics)Sexual behaviorStimulus (psychology)Sexual attractionSex organPhysiological psychology
DOInot available

Abstract

fetched live from OpenAlex

Men’s sexual responses have historically been characterized by their gender specificity, meaning that men show stronger genital and subjective arousal to preferred (i.e., sexual stimuli that include one’s preferred gender) versus non-preferred (i.e., sexual stimuli that do not include one’s preferred gender) sexual stimuli. But recent work suggests that many gynephilic (i.e., sexually attracted to women) men show varying degrees of same-sex attraction, fantasies, and behaviours. Previous research on men’s gender-specific sexual responses has not investigated potential bidirectional relationships between men’s attentional, affective, and genital responses to non-preferred sexual stimuli. New information about these relationships will contribute to our understanding of gynephilic men’s capacity for nonexclusive sexual attractions. Two models of sexual responding, the information processing model and the incentive motivation model, include pathways that detail the role of initial attention, controlled attention, and affect in activating or inhibiting arousal to nonpreferred sexual stimuli. Across two studies, these models of sexual responding are used as a framework to explore how greater negative affect (i.e., homonegativity and trait-level disgust) and attentional biases (i.e. vigilant initial attention and avoidant controlled attention) reduce men’s sexual responses to non-preferred sexual stimuli. In Study 1, which examined men’s detection of human stimuli at the earliest stages of stimulus processing, gynephilic men were more accurate when they identified images of nude women than when they identified images of clothed men or clothed women. There was no significant difference in their speed and accuracy, however, when detecting nude women versus nude men, suggesting that gynephilic men’s gender-specific sexual responses may only occur during later stages of processing. In Study 2, which examined men’s visual attention and genital responses during later stages of stimulus processing, greater levels of homonegativity and trait-level disgust predicted attentional avoidance of sexual stimuli featuring men, as well as lower genital responses to these stimuli. Results expand our current understanding of men’s sexuality by identifying factors that contribute to gender-specific and gender-nonspecific sexual responses in gynephilic men. Future work should explore whether gynephilic men’s sexual behaviours become increasingly malleable as society continues to become more accepting of same-sex sexuality.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.016
GPT teacher head0.236
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes1
Has abstractyes

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