MétaCan
Menu
Back to cohort
Record W1204522418 · doi:10.1177/1097184x15595082

The Impact of a Couple’s Vibrator on Men’s Perceptions of Their Own and Their Partner’s Sexual Pleasure and Satisfaction

2015· article· en· W1204522418 on OpenAlexaff
Erin Watson, Léa J. Séguin, Robin R. Milhausen, Sarah H. Murray

Bibliographic record

VenueMen and Masculinities · 2015
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPleasurePsychologyThematic analysisVibrator (electronic)NoveltyPerceptionVariety (cybernetics)Social psychologyDevelopmental psychologyQualitative researchSociologyAcousticsPsychotherapist

Abstract

fetched live from OpenAlex

Recent research demonstrated that more men, particularly those in couple relationships, are using vibrators to enhance sexual pleasure. However, men’s perceptions of vibrator use with a partner have rarely been investigated. The purpose of this analysis was to study men’s perceptions of the impact of vibrator use on their and their partner’s sexual pleasure and sexual satisfaction. Forty-nine men, aged twenty-five to fifty-eight, in heterosexual relationships responded to a series of open-ended questions regarding their experience of incorporating a couple-oriented vibrator into their sexual repertoire over a six-week period. The data were analyzed using thematic analysis. The data were organized into four themes: physical pleasure, awareness of partner’s experience, novelty and variety, and intimacy. Men’s experiences of sexual pleasure were tied to perceptions of their partner’s pleasure and to the addition of novelty and variety in sexual encounters.

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)0.003
metaresearch head score (Gemma)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.062
GPT teacher head0.344
Teacher spread0.282 · 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

Citations32
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueMen and MasculinitiesSame topicSexuality, Behavior, and TechnologyFrench-language works237,207