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Record W3154319517 · doi:10.24908/iqurcp.9831

Ready or Not: Exploring Sexual Arousal with Women who Report Sexual Arousal Difficulties

2018· article· en· W3154319517 on OpenAlexvenueno aff
Erin Zadorozny

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsSexual arousalSex organArousalPsychologySexual functionPopulationClinical psychologyAudiologyDevelopmental psychologyMedicineSocial psychologyBiology

Abstract

fetched live from OpenAlex

The purpose of this study is to examine possible differences in genital and subjective components of sexual arousal between women with and without sexual arousal/desire difficulties (SADD). Previous research has focused on physiological differences with women who have SADD, in particular, genital response to erotic stimuli. The pattern of results in the literature indicates that women with SADD exhibit similar genital responses to controls (Meston, Rellini, & McCall, 2010), yet women with SADD typically report a decrease in intensity of genital sensation in sexual situations (Laan, van Driel, & van Lunsen, 2008; Giraldi, Rellini, Pfaus, & Laan, 2013), calling into question the method of measurement employed to assess genitalresponse. In the current study, genital and subjective arousal, along with genital-subjective agreement (i.e., sexual concordance), will be investigated to determine if there is a difference between women with SADD and controls. Participants will include 30 self-identified heterosexual women who will complete a validated self-report measure of sexual function and a session in which they rate their subjective sexual arousal while their genital blood flow is measured in response to various films. Laser Doppler Imaging will be used to measure genital blood flow for the first time in this population. This study could lead to a better understanding of sexual arousal in women with SADD, which will assist with diagnosis, as well as identify areas to focus on when trying to develop treatments for sexual dysfunction.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.285
GPT teacher head0.403
Teacher spread0.118 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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