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Record W4416827928 · doi:10.1111/pere.70045

Who Is “Doing It”? Casual Sex and WellBeing in Singlehood

2025· article· en· W4416827928 on OpenAlexafffund
A.U.A. Amarakoon, Nicholas Latimer, Geoff MacDonald, Samantha J. Dawson

Bibliographic record

VenuePersonal Relationships · 2025
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of TorontoUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaMichael Smith Health Research BC
KeywordsCasualRomanceContext (archaeology)ThrivingSexual behaviorSex partners

Abstract

fetched live from OpenAlex

ABSTRACT The casual sex literature has mostly ignored the fact that casual sexual encounters typically occur in the broader context of lives lived single. This study aimed to address this gap by examining the casual sex experiences of single people. Using a discovery (Study 1, N = 747) and replication/extension (Study 2, N = 483) design, we investigated the frequency and characteristics of casual sexual relationships during singlehood and explored factors distinguishing singles who do and do not engage in casual sex in the domains of attachment, singlehood satisfaction, and wellbeing. Within our samples, 15.1% and 26.1% of singles reported being sexually active. These sexual relationships were characterized by limited exclusivity, low emotional closeness, and little interest in transitioning to a committed romantic relationship. Across both studies, singles engaging in casual sex reported lower attachment avoidance, greater sexual satisfaction, and higher self‐perceived mate value compared to those not sexually active, challenging previous research linking casual sex participation with negative outcomes. Considering casual sex as one part of lives lived single may provide a clearer picture of both decisions around casual sex opportunities and thriving during singlehood.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.380
Teacher spread0.342 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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