Elderly Sports, Challenges and Solutions (Case Study: Western Provinces of Iran)
Bibliographic record
Abstract
<p>The purpose of this research was to discuss the challenges and solutions regarding elderly sports in western provinces of Iran. The research is survey-descriptive and has conducted as field method. The data population were men and women aged over 60 years in the western provinces of Iran at 2015 that their number is 750,000 people according to statistics taken from official authorities. Among the population the 2,540 people were selected using Morgan table. Sampling method was accessible method. Researcher made questionnaire was used for data collection which contained 30 item in the 5 item Likert scale. The validity of questionnaire confirmed by 11 people of sport management professors. The reliability of the questionnaire was obtained 0.74 using Cronbach’s alpha. Descriptive statistics indexes (Mean, standard deviation, and percent) and Chi-squared test were used for analyzing data. Results indicated that lack of sufficient recreational and sports facilities, low levels of education, low levels of income, physical weakness, cultural factors, psychological characteristics, family and proper education play a significant role in enjoyment of sports and leisure. With respect to results, it is recommended to establish sports and recreational sites for development of elderly sports.</p>
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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 | 0.002 | 0.000 |
| 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".