Bibliographic record
Abstract
The objective of this study was to examine the breadth and depth of relationships with retirement and health regarding older adults’ physical activities. In addition, the possible implication of the relationships is to examine better understanding of how to stay active after retirement. Data from the American Association of Retirement Persons (AARP, Montenegro, 2015) telephone survey were used, which sampled persons, age range was 60-89 years old (n=134). Result indicated that health and physical activity factors affected retired older life satisfaction. It is not surprising that retired older adults are less satisfied when they have decreased physical health, but more satisfied when they engage in diverse physical activities or exercise after retirement (USDHHS, 2018). Given that aerobic and muscle strengthening activities contributed to improving physical function and reducing the risk of falls (Chodzko-Zajko et al., 2009; Spark et al., 2018), this study also supported the findings that aerobic and muscle strengthening activities with relative intensity level positively influenced the satisfaction levels of participants (USDHHS, 2018).
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".