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Record W3015480190 · doi:10.1177/1948550619897157

A Prospective Investigation of the Decision to Open Up a Romantic Relationship

2020· article· en· W3015480190 on OpenAlexaff
Annelise Parkes Murphy, Samantha Joel, Amy Muise

Bibliographic record

VenueSocial Psychological and Personality Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsYork UniversityWestern University
Fundersnot available
KeywordsRomancePsychologySexual relationshipSocial psychologyInterpersonal relationshipQuality (philosophy)Developmental psychologyHuman sexualityGender studiesEpistemologySociology

Abstract

fetched live from OpenAlex

Consensual nonmonogamy (CNM) is an increasingly popular relationship option and a burgeoning topic within relationship science. However, retrospective designs have limited our ability to draw conclusions about the consequences of opening up a romantic relationship to other partners. In a longitudinal study, 233 individuals who were planning to engage in CNM, but who had not done so yet, were tracked over 2 months. We compared participants’ relational, sexual, and personal well-being before versus after opening up and between participants who did ( n = 155) versus did not ( n = 78) open up their relationships over the course of the study. Those who engaged in CNM experienced significant increases in sexual satisfaction, particularly if they did so with the explicit goal of addressing sexual incompatibilities within their relationships. We found no evidence that engaging in CNM impacted either life satisfaction or relationship quality with the primary partner.

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)0.006
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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.303
GPT teacher head0.459
Teacher spread0.156 · 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

Citations25
Published2020
Admission routes1
Has abstractyes

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