Relationship between Quality of Life of Women-Headed Households and Some Related Factors in Iran
Bibliographic record
Abstract
BACKGROUND & AIM: Women heading their households are the ones who lead their life alone. Burden of life probably decreases the quality of life of women-headed households. The aim of this study is to determine the relationship between quality of life of women-headed households and some related factors in Iran. METHODS: The study was a cross-sectional study and 180 women-head households were selected from Welfare Organization, Tehran Province, using stratified random sampling method in 2015(January up to April). Social World Health Organization's quality of life questionnaire was used to gather information. The data were analyzed using SPSS statistical software (15) and suitable descriptive and analytical methods were applied. RESULTS: Quality of life was moderate in the studied women. The highest mean score (50.35) was related to the physical aspect and the lowest mean (37.82) was about the environmental aspect. CONCLUSION: Quality of life of the studied women is not desirable; so, it is necessary to design appropriate interventions to improve their quality of life.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".