Improving Women and Family’s Health through Integrated Microfinance, Health Education and Promotion in Rural Areas
Bibliographic record
Abstract
While increasing number of women enjoys more freedom and power in urban areas, women in rural areas are at a disadvantage in almost all aspects of life when compared to men. Investing in economic empowerment of women particularly in rural areas by supporting them to implement local context based business ideas and basic finance capacity and skills development may reverse these trends, however, when combined with heath education and promotion through trainings focusing on preventive health yields greater impact. This paper is a systematic review of the peer - reviewed research papers and project reports in English language on how rural women, children and family’s health can be improved through integrating income generation and health education & promotion activities. Generally, integrated microfinance, health education and promotion activities has resulted in significant reduction of intimate-partner violence, reduction in HIV/AIDS risk, promotion of mental health and improved women and family health. The findings may guide the process of designing and planning of integrated programs for sustainable women’s income and family health especially in rural areas.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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".