Serious Leisure, Life Satisfaction, and Health of Older Adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explored the relationships among serious leisure, life satisfaction, and health. The study sample consisted of 454 older adults from two annual events: the 2008 Indiana Senior Olympic Games and 2008 Colorado Senior Olympic Games. Cluster analysis was used to identify distinct groups based upon patterns of serious leisure involvement. In addition, relations among life satisfaction, health, and membership in serious leisure clusters were documented. This analysis resulted in three clusters, and they were named high/medium/low involvement groups. A one-way multivariate analysis of variance (MANOVA) was employed to determine cluster differences in life satisfaction, physical health, and mental health. MANOVA results revealed significant differences among the clusters on dependent variables. The findings document significant heterogeneity in the expression of serious leisure involvement among the Senior Games participants. The results also suggest that there are positive relationships between level of involvement in serious leisure and life satisfaction and health.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it