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Record W2801102890 · doi:10.1177/0265407518774638

Sexual need fulfillment and satisfaction in consensually nonmonogamous relationships

2018· article· en· W2801102890 on OpenAlexafffund
Amy Muise, Andrew K. Laughton, Amy C. Moors, Emily A. Impett

Bibliographic record

VenueJournal of Social and Personal Relationships · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsUniversity of TorontoYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologySocial psychologyHeteronormativityPsychoanalysis

Abstract

fetched live from OpenAlex

Consensually nonmonogamous (CNM) relationships allow individuals to fulfill their sexual needs with multiple partners, but research has yet to investigate how having one’s sexual needs met in one relationship is associated with satisfaction in another relationship. We draw on models of need fulfillment in CNM relationships and theories of sexual communal motivation to test how sexual need fulfillment in one relationship is associated with satisfaction in another, concurrent relationship. Across two studies, individuals in CNM relationships ( N = 1,054) who were more sexually fulfilled in their primary relationship reported greater relationship satisfaction with their secondary partner. In Study 2, men who were more sexually fulfilled in their secondary relationship reported greater relationship satisfaction with their primary partner, but women who were more sexually fulfilled with their secondary partner reported lower sexual satisfaction in their primary relationship. Implications for communal relationships and need fulfillment are discussed.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.105
GPT teacher head0.337
Teacher spread0.233 · 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

Citations52
Published2018
Admission routes2
Has abstractyes

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