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Record W4401435967 · doi:10.1177/02654075241268545

“It’s someone who means a lot to me, and who means even more to mom”: Children’s views on the romantic partners of their polyamorous parents

2024· article· en· W4401435967 on OpenAlexafffundabout
Milaine Alarie, Morag Bosom, Isabel Côté

Bibliographic record

VenueJournal of Social and Personal Relationships · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsUniversité du Québec en OutaouaisUniversité du Québec à MontréalInstitut National de la Recherche Scientifique
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsClosenessPsychologyRomanceDevelopmental psychologyContext (archaeology)Diversity (politics)Style (visual arts)Social psychologySociology

Abstract

fetched live from OpenAlex

Polyamory is a relationship style that allows individuals to develop multiple romantic relationships simultaneously. Although studies show that many polyamorous people have children, very little is known about the experiences of children growing up in such a family context. Based on 18 semi-structured interviews with Canadian children living with polyamorous parents, we examined the level of emotional closeness they felt towards their parents' romantic partners, and what these adults meant to them. We found that these children generally appreciated their parents' partners. These adults were seen by our participants as someone who contributed positively to their lives. More specifically, the participating children -especially pre-teens and younger children- described their parents' romantic partners as adults: 1) to have fun with, 2) who contributed to their material well-being, 3) who took care of them, and 4) who, through their own children, contributed to expanding their circle of friends. Finally, some children - mainly teenagers and pre-teens- talked about these adults primarily as people who contributed positively to their parents' lives. Overall, this study makes an important contribution to the literature on family diversity.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.115
GPT teacher head0.364
Teacher spread0.250 · 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 designQualitative
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

Citations3
Published2024
Admission routes3
Has abstractyes

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