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Record W4389508252 · doi:10.1111/jomf.12955

Family and consensual non‐monogamy: Parents' perceptions of benefits and challenges

2023· article· en· W4389508252 on OpenAlexafffundabout
Milaine Alarie

Bibliographic record

VenueJournal of Marriage and the Family · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsInstitut National de la Recherche Scientifique
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPerceptionPsychologyContext (archaeology)Social psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract Objective This study explores the perspectives of parents in open or polyamorous relationships with regards to challenges and benefits of practicing consensual non‐monogamy (CNM). Background Studies show that about one in five people, both in Canada and the United States, have been involved in a CNM relationship in their lifetime, a proportion that is even higher among today's young adults. While we know that many of those people have children, little research has focused on the experiences of parents practicing CNM. Method This article begins to fill this gap, drawing on 34 individual semi‐structured interviews with Canadian parents involved in CNM relationships and their partners. The author explores the benefits and challenges associated with raising children in the context of CNM, as experienced by the participants. Results The vast majority of participants argued that the benefits of being polyamorous or in an open relationship considerably outweighed the difficulties they encountered. Six overarching themes emerged from the participants' discourses, namely: (1) social acceptance and legal protection, (2) coming out to children, (3) time management, (4) reconciling family obligations and personal needs, (5) it takes a village to raise children, and (6) teaching important values to children. Conclusion Ultimately, this study shows that parents practicing CNM perceive their relationship model as mostly beneficial for themselves, as parents, and for their family.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.602
Threshold uncertainty score0.319

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.087
GPT teacher head0.313
Teacher spread0.225 · 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 teacher head, 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

Citations7
Published2023
Admission routes3
Has abstractyes

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