Free time of elderly people in terms of physical activity
Bibliographic record
Abstract
Gerontological issues will gain more and more recognition, both in the social and medical aspect. The reason for this is the sharp increase in the percentage of the elderly population, which is related to a decline in birth rates on the one hand and an increase in life expectancy on the other. The aging of the population of Europe and Poland is probably the most important health and socio-political challenge in the coming years. In 2050, people aged 60-79 are expected to make up a quarter of the entire population of the European Union. Maintaining the appropriate level of health, independence and independence of the elderly becomes a great challenge. This is not only a public health challenge, but also a huge socio-economic problem. A typical situation in old age is the occurrence of several diseases at the same time. In addition, the situation is complicated by the procedure of a number of degenerative changes affecting almost all systems and functions of the system, deteriorating the possibility of functioning and rehabilitation. Taking up issues related to seniors becomes important for at least several reasons. The most important ones include: the increasing number of elderly people, the widespread cult of a financially efficient and independent person (completely different from the geriatric reality), the need to educate professionals to help or support those in need, and the need for mental changes in society regarding the aging process and old age itself. The aim of this article is to present the problem of leisure time of elderly people from the perspective of physical activity. The starting point for the considerations was the explanation of the concepts of "old age" and "aging". Next, the most important issues concerning human activity in late adulthood are presented and the main assumptions of the theory of activity are presented. Then the concept of free time was defined, the features of free time activity were discussed, and the functions of free time were also indicated. Attention was also paid to the structure of seniors' time budget and the types of free-time activity that dominate among them. Next, the problem of free time of old people is presented in the context of the theory of activity, paying particular attention to the issues related to the activation of seniors.
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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 | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".