Self-Empowerment of Female Students in Prevention of Osteoporosis
Bibliographic record
Abstract
BACKGROUND: Osteoporosis is a chronic disease affecting society, particularly women and girls. Osteoporosis is a chronic, multifactorial disease, which is currently prevalent as the life expectancy and aging population is increasing. The purpose of this study is to evaluate self-empowerment (knowledge, attitudes, life skills and self-efficacy) of female students for prevention of osteoporosis. METHODS: This study used a descriptive survey. Participants included 60 female students of Islamic Azad University, Sharekord. Data was collected by a researcher-made questionnaire measuring self-empowerment for prevention of osteoporosis. In addition to descriptive indicators, t-test and chi-square test were used to analyze data by SPSS software. RESULTS: Self-empowerment of female students, including attitude, social skills and self-efficacy, is optimal for prevention of osteoporosis. The mean of these three components is significantly higher than the assumed mean (3). However, their knowledge is not optimal. There is no significant difference in frequency of correct and incorrect responses. CONCLUSION: Female students do not have adequate knowledge for prevention of osteoporosis and require training in this area.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".