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Record W4405976313 · doi:10.1093/geroni/igae098.0210

DIFFERENCES BETWEEN LIFELONG SINGLES AND PARTNERED INDIVIDUALS IN PERSONALITY TRAITS AND LIFE SATISFACTION

2024· article· en· W4405976313 on OpenAlexaff
David Richter, Julia Stern, Michael Dominik Krämer, Alexander Schumacher, Geoff MacDonald

Bibliographic record

VenueInnovation in Aging · 2024
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBig Five personality traitsPsychologyLife satisfactionPersonalityLifelong learningClinical psychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Being romantically partnered is widely seen as societal norm, and has been shown to be positively associated with important life outcomes, such as physical and mental health. However, the percentage of singles is steadily increasing, with more people staying single for life. We used the Survey of Health, Ageing and Retirement in Europe (N = 77,064 in retirement age from 27 countries) to investigate the Big Five personality traits and life satisfaction in lifelong singles as compared to (previously) partnered individuals. Specification curve analyses suggested that lifelong singles were less extraverted, conscientious, open to experiences, and less satisfied with their lives. Effects were stronger for never partnered than for never cohabitating or never married individuals, and partly moderated by gender, age, country-level singlehood, and gender ratio. Our study provides insights into characteristics of lifelong singles, and has implications for understanding mental health and structures of social support in older individuals.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.082
GPT teacher head0.381
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), 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 routes1
Has abstractyes

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