MétaCan
Menu
Back to cohort
Record W4320485443 · doi:10.1080/00224499.2022.2163611

Is Spontaneous Sex Ideal? Beliefs and Perceptions of Spontaneous and Planned Sex and Sexual Satisfaction in Romantic Relationships

2023· article· en· W4320485443 on OpenAlexafffund
Katarina Kovacevic, Eric Tu, Natalie O. Rosen, Stephanie Raposo, Amy Muise

Bibliographic record

VenueThe Journal of Sex Research · 2023
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsDalhousie UniversityYork University
FundersCanadian Institutes of Health Research
KeywordsRomancePsychologySocial psychologyPerceptionIdeal (ethics)Developmental psychology

Abstract

fetched live from OpenAlex

Sexual satisfaction is critical for relationship quality and people hold lay beliefs (implicit theories) about what makes for satisfying sex. A common belief in Western culture is that spontaneous sex is most satisfying, but this idea has not yet been studied. In pre-registered analyses of two studies – a cross sectional (N = 303 individuals) and a 21-day daily experience study (N = 121 couples) – we found support for two distinct beliefs (spontaneous sex as satisfying; planned sex as satisfying). Across both studies, people held stronger beliefs that spontaneous sex is satisfying compared to planned sex, but stronger spontaneous sex beliefs were only associated with higher sexual satisfaction in Study 1. In Study 1, when people perceived their most recent sexual experience as planned (versus spontaneous), they felt less sexually satisfied, but this was not the case for those who endorsed stronger planned sex beliefs. In Study 2, endorsing stronger planned sex beliefs was associated with a partner’s lower sexual satisfaction at baseline. There were no associations between perceptions of the extent to which sex was spontaneous and sexual satisfaction at baseline or in daily life. Future research could test whether beliefs about spontaneity and planning have value in clinical settings.

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)0.004
metaresearch head score (Gemma)0.000
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 score0.039
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.112
GPT teacher head0.412
Teacher spread0.300 · 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

Citations9
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Sex ResearchSame topicSexuality, Behavior, and TechnologyFrench-language works237,207