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Record W6962580126 · doi:10.17605/osf.io/6tsu9

NM #3

2025· other· en· W6962580126 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2025
Typeother
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsJealousyDehumanizationSexual relationshipSexual behaviorRomancePromiscuityHuman sexuality

Abstract

fetched live from OpenAlex

A substantial number of people engage in relationships that are openly and consensually non-monogamous (i.e., may involve multiple consenting partners and do not require romantic and/or sexual exclusivity; Conley et al., 2013). Indeed, recent research suggests that as many in 1 in 5 adults in the U.S. and Canada have engaged in some type of ethically non-monogamous relationship over the course of their lives (Fairbrother et al., 2019). This should perhaps be relatively unsurprising, given that monogamy is not universal; indeed, research reveals significant variability of relationship structures across both species (Ryan & Jetha, 2010) and human cultures (Schmitt, 2005). Further, high rates of infidelity and divorce in monogamous relationships suggest that monogamy may not be a universally-positive, sustainable, or desirable relationship structure (Guerrero et al., 2017). In addition, a substantial body of evidence reveals that the various forms of non-monogamy are not associated with poorer outcomes relative to monogamy (see Conley et al., 2013 for a discussion). Instead, some studies reveal the opposite pattern; non-monogamous participants report experiencing more trust, sexual satisfaction, and less jealousy relative to comparable monogamous participants (Conley et al., 2017) and are also more likely to utilize safe sex practices (Conley et al., 2012). Thus, although monogamy is commonly considered the default relationship structure, non-monogamy appears to represent a valid or even advantageous opportunity for many individuals. And yet, some evidence suggests that people practicing non-monogamy encounter stigma, whereas monogamous individuals are viewed with “halo effects” of excessive positivity (Conley et al., 2013). For example, non-monogamous people report being dehumanized (Rodrigues et al., 2023), and undergraduate participants demonstrate an implicit preference for monogamy (Thompson et al., 2018). While relatively few experiments have explored potential non-monogamy stigma, those that do reveal troubling patterns of bias. For example, participants rated a non-monogamous couple substantially more negatively than the identical monogamous couple (Conley et al., 2013), and this was true for both White and Black target couples (St. Vil et al., 2022). The current work seeks to expand the existing experimental literature by expansively probing the existence and nature of stigma for non-monogamy. Additionally, it will seek to identify the processes underscoring the effect, and ultimately, test evidence-based interventions that can reduce this harmful stigma. This first study seeks to conceptually replicate existing evidence of non-monogamy stigma in an important new context (judgments of couples seeking to adopt a young child), while also affording exploratory tests of potential moderators and mediators. Further, the current iteration of the work seeks to explore whether there are any differences as a function of married targets’ sexual orientation. Specifically, participants will read about one of nine couples, identical apart from their relationship structure (monogamy, infidelity, polyamory) and sexual orientation (gay, lesbian, heterosexual), and then provide their reactions to the couple (see procedure below). This between-subjects design allows for an experimental test of potential stigma targeting people engaged in non-monogamy, as a function of their relationships structure and sexual orientation. We expect that non-monogamous couples will be rated more poorly than identical monogamous couples. We will explore any possible specific conditions differences within this basic hypothesis. Further, we will explore any effects associated with target couple's sexual orientation. Finally, we will conduct exploratory analyses to begin to probe potential mechanisms, with an eye towards developing interventions in future work.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0040.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.021
GPT teacher head0.357
Teacher spread0.336 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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