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Record W2790433801 · doi:10.1177/0265407517743084

The relationship implications of rejecting a partner for sex kindly versus having sex reluctantly

2018· article· en· W2790433801 on OpenAlexaff
James J. Kim, Amy Muise, Emily A. Impett

Bibliographic record

VenueJournal of Social and Personal Relationships · 2018
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsPsychologyRomanceSocial psychologySexual relationshipDevelopmental psychologyPositive relationshipHuman sexuality

Abstract

fetched live from OpenAlex

Romantic partners often have differing levels of sexual interest. In these situations, lower desire partners may engage in sex for avoidance goals (e.g., to avoid disappointing their partner), which are associated with negative relational outcomes. An alternative strategy to sustain relationship quality may be to decline a partner’s sexual advances in positive ways. In two experimental studies and a dyadic daily experience study with a longitudinal follow-up, we examined the relationship outcomes of positive rejection compared to avoidance-motivated sex. Across studies, when people engaged in positive rejection, both they and their partner did not experience lower levels of relationship satisfaction compared to when they had sex for avoidance goals, although this was not true for sexual satisfaction. Chronic pursuit of sex for avoidance goals did, however, have detrimental consequences over time, whereas positive rejection helped sustain relationship satisfaction. Results suggest positive rejection behaviors may be a viable alternative to avoidance-motivated sex.

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)0.015
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
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)0.0050.000

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 head0.158
GPT teacher head0.448
Teacher spread0.290 · 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

Citations30
Published2018
Admission routes1
Has abstractyes

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