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Record W2175954364 · doi:10.1080/00224499.2015.1084984

Is High Sexual Desire a Risk for Women’s Relationship and Sexual Well-Being?

2015· article· en· W2175954364 on OpenAlexaff
Aleksandar Štulhofer, Sophie Bergeron, Tanja Jurin

Bibliographic record

VenueThe Journal of Sex Research · 2015
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSexual desireHypersexualityPsychologyHuman sexualitySexual dysfunctionSexual functionClinical psychologyDevelopmental psychologySexual behaviorPsychiatryGender studies

Abstract

fetched live from OpenAlex

Historically, women's sexual desire has been deemed socially problematic. The growing popularity of the concept of hypersexuality-which lists high sexual desire among its core components-poses a risk of re-pathologizing female sexual desire. Data from a 2014 online survey of 2,599 Croatian women aged 18-60 years was used to examine whether high sexual desire is detrimental to women's relationship and sexual well-being. Based on the highest scores on an indicator of sexual desire, 178 women were classified in the high sexual desire (HSD) group; women who scored higher than one standard deviation above the Hypersexual Disorder Screening Inventory mean were categorized in the hypersexuality (HYP) group (n = 239). Fifty-seven women met the classification criteria for both groups (HYP&HSD). Compared to other groups, the HSD was the most sexually active group. Compared to controls, the HYP and HYP&HSD groups-but not the HSD group-reported significantly more negative consequences associated with their sexuality. Compared to the HYP group, women with HSD reported better sexual function, higher sexual satisfaction, and lower odds of negative behavioral consequences. The findings suggest that, at least among women, hypersexuality should not be conflated with high sexual desire and frequent sexual activity.

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)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
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 integrity0.0000.001
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 head0.215
GPT teacher head0.455
Teacher spread0.240 · 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

Citations21
Published2015
Admission routes1
Has abstractyes

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