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Record W2084358391 · doi:10.1177/0146167215580129

To Do It or Not to Do It? How Communally Motivated People Navigate Sexual Interdependence Dilemmas

2015· article· en· W2084358391 on OpenAlexaff
Lisa C. Day, Amy Muise, Samantha Joel, Emily A. Impett

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2015
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyRomanceSocial psychologySexual desireRecallSet (abstract data type)Sexual attractionHuman sexualityDevelopmental psychologySexual behaviorSociologyGender studies

Abstract

fetched live from OpenAlex

The current research investigates how people make sexual decisions when romantic partners' sexual desires conflict, situations we refer to as sexual interdependence dilemmas. Across an experimental study, a retrospective recall study, and a 21-day daily experience study, we found that people who were motivated to meet their partner's sexual needs--those high in sexual communal strength--were more willing to engage in sex with their romantic partner, even when their own desire was low, and as a result, both partners reported enhanced relationship and sexual satisfaction. The benefits of sexual communal strength were due to communally oriented people's increased desire to promote their partner's interests and decreased desire to pursue their own interests. This is the first set of studies to investigate how people make decisions in sexual interdependence dilemmas and show that communally motivated individuals navigate these situations in a way that is beneficial for relationships.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

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 studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.093
GPT teacher head0.435
Teacher spread0.341 · 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

Citations92
Published2015
Admission routes1
Has abstractyes

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