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Record W4400729583 · doi:10.1080/00224499.2024.2377575

Definitions of Having Sex in Older Men and Women and Their Relationship with Sexual Well-Being

2024· article· en· W4400729583 on OpenAlexafffund
Joshua D. Cameron, Pablo Santos‐Iglesias

Bibliographic record

VenueThe Journal of Sex Research · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsCape Breton University
FundersCape Breton University
KeywordsPsychologySex therapyDevelopmental psychologyGerontologyMedicineSexual dysfunctionPsychoanalysis

Abstract

fetched live from OpenAlex

The goal of this study was to explore the sexual activities that older adults consider as having had sex and to examine correlates of the ways that older men and women define sex. A sample of 286 men and women aged 60 years and older who were involved in a romantic relationship were recruited online from Prolific and Facebook advertisements. Participants were presented a list of 19 different sexual activities and asked whether they would think they had sex if they engaged in each one of those activities. Results showed that penetrative sexual activities were found to be the most likely endorsed as having had sex, followed by genital non-penetrative activities, masturbation activities, and non-genital contact. Greater sexual frequency for a sexual activity was associated with endorsing that same activity as having had sex. A cluster analysis revealed five different groups of individuals based on the activities that they considered as having had sex. Only small differences in sexual wellbeing were found among these groups of individuals. The way older men and women define sex is complex and shows great variability. Our results have important implications for the operationalization and assessment of sexual activity. Other implications for healthcare and future research are discussed.

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)0.003
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 score0.207
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.123
GPT teacher head0.370
Teacher spread0.247 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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