Social Networks, Role-Relationships, and Personality in Older Adulthood
Bibliographic record
Abstract
OBJECTIVES: This article examines the implications of personality traits for social network connectedness in older adulthood, across different social relationships. METHODS: This article uses data from the National Social Life Health and Aging Project (NSHAP), a nationally-representative, longitudinal survey of community-dwelling older Americans (N = 2,261). Network characteristics were predicted using Poisson and negative binomial regression (for network size) as well as multilevel identity-linked and ordinal-logit-linked regressions (for tie strength). RESULTS: Extraversion and agreeableness were associated with tie strength, and extraversion was weakly associated with friend network size. Few trait-by-role-relationship interactions emerged, although more-neurotic persons were more likely to talk about their health with friends. DISCUSSION: Personality traits impact the strength of social network ties in older adulthood. However, traits may have minimal impact on network size. The consequences of personality also appear to be largely consistent across different social relationships.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".