A Study on Status of Empowerment of Women in Jamnagar District
Bibliographic record
Abstract
Background: Empowerment of women is important for decision making in relation to health seeking, family planning, nutrition and economic issues, for her as well as for the family. Aim: To assess the level of empowerment of women in Jamnagar district. Settings and design: A cross sectional study was designed in rural and urban areas of Jamnagar district. Material and methods: An open-ended questionnaire was used for data collection on parameters relating to women empowerment through house-to-house survey. Statistical analysis: Chi-square was used. Results: Mean age of participants was 30.74 ± 7.65 years, 14.77% were illiterate, majority of women were housewives, 28.86% were not involved in decision regarding their marriage and 14.09% were not involved in household decisions. About quarter had no say in financial matters of family and 57% didn’t hold any bank account. The condition was worse for rural and urban slum women. 21% of the women had experienced some kind of domestic violence, which was higher in case of urban women. About one fifth of the women had no role in decisions related to reproductive health viz; spacing and of number of children, methods of family planning. Conclusion: one fifth of the women had no say regarding the reproductive issues and similarly a quarter had no participation in financial decisions. One in every five (21.47%) had faced domestic violence in some form. Education, employment had a positive impact on status of women in relation to empowerment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".