Is Participation in Competitive Sport during Older Adulthood Associated with Greater Life Satisfaction
Bibliographic record
Abstract
Based on previous work in the area arguing that the benefits accompanying competitive sport surpass those gained from exercise and physical activity alone (Dionigi, Baker, & Horton, 2011;Gayman, Fraser-Thomas, Dionigi, Horton, & Baker, in press), the following study explored the hypothesis that participation in competitive sport during older adulthood would be associated with greater levels of life satisfaction when compared to moderately active and sedentary age-matched peers. Measures of life satisfaction were evaluated in Canadian masters athletes aged 50 years and \nabove and compared to normative data obtained from the Canadian Community Health Survey cycle 4.1. Results indicated that masters athletes did not report greater levels of life satisfaction for any of the outcomes measured. Cumulatively, the results of this study challenge the position that competitive sport is a valuable tool for enhancing life satisfaction during older adulthood.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".