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Record W3011804557 · doi:10.1177/0146167220907469

When Tonight Is Not the Night: Sexual Rejection Behaviors and Satisfaction in Romantic Relationships

2020· article· en· W3011804557 on OpenAlexafffund
James J. Kim, Amy Muise, John Kitchener Sakaluk, Natalie O. Rosen, Emily A. Impett

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2020
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsDalhousie UniversityUniversity of VictoriaYork UniversityUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyRomanceSocial psychologyDevelopmental psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

In most long-term romantic relationships, partners experience sexual conflicts of interest in which one partner declines the other partner’s sexual advances. We investigated the distinct ways people reject a partner’s advances (i.e., with reassuring, hostile, assertive, and deflecting behaviors) in Studies 1 and 2. Using cross-sectional (Study 3) and daily experience methods (Study 4), we investigated how perceptions of a partner’s rejection behaviors are linked with the rejected partner’s relationship and sexual satisfaction. We found robust evidence that perceived partner reassuring behaviors were associated with greater satisfaction, whereas perceived partner hostile behaviors were associated with lower levels of satisfaction. Perceived partner responsiveness was a key mechanism underlying the effects. Findings for assertive and deflecting behaviors were limited, but the effect of deflecting behaviors was qualified by levels of hostile behaviors for sexual satisfaction. Findings provide the first empirical investigation of the specific ways partners can decline one another’s advances to preserve satisfaction.

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)0.002
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.073
GPT teacher head0.382
Teacher spread0.309 · 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

Citations28
Published2020
Admission routes2
Has abstractyes

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Same venuePersonality and Social Psychology BulletinSame topicAttachment and Relationship DynamicsFrench-language works237,207