Impact of a physical exercise program on resilience level
Bibliographic record
Abstract
Aging is a physiological process. In view of the changes that affect the elderly, there is a need for resilience in this context, essential for well-being. Objective: To analyze the resilience rates of the elderly, before and after the practice of physical activity. This is a quasi-experimental, quantitative, descriptive cross-sectional study, carried out with 100 elderly people. The participants completed the anamnesis and the “Wagnild and Young Resilience Scale”. There is an age group of 65 to 69 years old (37.8%), self-declared white (38.9%), user of UBS Augusto Franco (Augusto Franco) (62.2%), married (40%) , with incomplete primary education (26.7%), retired (40%), with a monthly family income of up to 2 minimum wages (57.8%), with the majority having increased levels of resilience subfacets: serenity, sense of life, self-confidence, self-sufficiency, perseverance. The data obtained indicate an increase in resilience with the practice of exercise, contributing to the improvement of health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".