Seniors Say the `Darndest' Things about Exercise: Quotable Quotes that Stimulate Applied Gerontology
Bibliographic record
Abstract
This review article highlights unusual narrative elements spoken by older people as they present their perspective on and involvement in exercise, sports, and physical activity. Drawn from a number of studies, the voices of elders are assembled here as quotable quotes or statements that challenge contemporary understanding and meaning. Just as elderly respondents are wondering what kind of research is going on in applied gerontology, researchers are perplexed when some elders say `the darndest things' about their health, lifestyles, and physical activity. Overall, the review serves as a collection of learnings that may help other applied gerontologists by (a) sharing some insights and challenges of doing qualitative research with elders, (b) exploring how older people make sense of the role of physical activity in their lives, and (c) showing how interpretive approaches can enrich current understanding about the lifestyles and life meaning of older adults.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".