Perception of Iranian Middle-Aged Women Regarding Moral Health Concept: A Content Analysis
Bibliographic record
Abstract
INTRODUCTION: The present study aimed at exploring and describing the perception of moral health from middle-aged women standpoints. Women's decisive role in family is undeniable. In the family which is built upon tradition, faith and ethics, this is women's principle which is represented in the moral health of the individual and the society, deals with the nature of the vice and virtue. This study attempted to identify the perception of Iranian middle-aged women about the concept of moral health. METHOD: The present study completed through a content analysis method. Twenty two middle-aged women were recruited through purposive sampling. Data were granted by face to face, semi-structured interview. RESULT: Our major categories are devotion, preserving moral values and moral challenges. Devotion category includes subcategories such as prioritizing the health of family members and trying to save marriage. Preserving moral values category includes subcategories such as respecting values and consolidating beliefs over time. Moral challenges category consists of individual and familial challenges subcategories. CONCLUSION: Moral health is of high importance which affects various dimensions of individual, social and familial life. The findings of the present study presented new dimensions of middle-aged women's health regarding moral health which can finally have different consequences on familial and social moral 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".