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Record W7118020050 · doi:10.17605/osf.io/s8evj

Agreeableness and well-being: Exploring the mediating roles of social connection and prosocial behavior

2025· other· W7118020050 on OpenAlexaff
Friedrich Götz, Sakshi S. Sahakari, Leo McHegg

Bibliographic record

VenueOpen Science Framework · 2025
Typeother
Language
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProsocial behaviorAgreeablenessSocial connectednessInterpersonal communicationInterpersonal relationshipSocial relationPersonalityReciprocity (cultural anthropology)

Abstract

fetched live from OpenAlex

Agreeableness, or the tendency to cooperate and form positive relationships, is known to predict increased subjective well-being. However, the mechanisms underlying this association have yet to be explored. This study investigated whether social connectedness and prosocial behavior could explain the agreeableness-wellbeing relationship. Using archived longitudinal data from 7500 Dutch adults, we analyzed a structural equation model to explore whether formal volunteering, informal volunteering, and social connection quantity and quality mediate the effect of agreeableness on well-being. Our findings illustrate the role of interpersonal factors in linking agreeableness to well-being.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0050.009
Scholarly communication0.0040.002
Open science0.0040.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.331
Teacher spread0.297 · 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 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
Published2025
Admission routes1
Has abstractyes

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