Leisure as a Resource for Successful Aging by Older Adults with Chronic Health Conditions
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
Drawing on the model of Selective Optimization with Compensation (SOC) (Baltes & Baltes, 1990), the purpose of this article is to examine leisure-related goals of older adults with chronic conditions and the strategies they use to not only successfully manage their chronic health conditions but live well with them. Semi-structured in-person interviews were conducted with 18 community-dwelling older adults (nine males, nine females, ages 58-87 years) with a variety of chronic conditions. Inductive and deductive within and cross-case thematic analyses resulted in descriptions of changes and continuity in participants' leisure participation following the onset of their chronic condition and construction of four themes: drawing on existing resources for continued involvement, setting leisure-based goals, using strategies to get more out of life, and more than managing: living a life of meaning. Implications for promoting successful aging are discussed, specifically the benefits of incorporating information and skill-building to help older adults recognize that leisure can be a resource for healthy aging and self-managing their chronic health condition.
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 | 0.000 |
| 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