Gender and social geography: Impact on Lady Health Workers Mobility in Pakistan
Bibliographic record
Abstract
BACKGROUND: In Pakistan, where gendered norms restrict women's mobility, female community health workers (CHWs) provide doorstep primary health services to home-bound women. The program has not achieved optimal functioning. One reason, I argue, may be that the CHWs are unable to make home visits because they have to operate within the same gender system that necessitated their appointment in the first place. Ethnographic research shows that women's mobility in Pakistan is determined not so much by physical geography as by social geography (the analysis of social phenomena in space). Irrespective of physical location, the presence of biradaria members (extended family) creates a socially acceptable 'inside space' to which women are limited. The presence of a non-biradari person, especially a man, transforms any space into an 'outside space', forbidden space. This study aims to understand how these cultural norms affect CHWs' home-visit rates and the quality of services delivered. DESIGN: Data will be collected in district Attock, Punjab. Twenty randomly selected CHWs will first be interviewed to explore their experiences of delivering doorstep services in the context of gendered norms that promote women's seclusion. Each CHW will be requested to draw a map of her catchment area using social mapping techniques. These maps will be used to survey women of reproductive age to assess variations in the CHW's home visitation rates and quality of family planning services provided. A sample size of 760 households (38 per CHW) is estimated to have the power to detect, with 95% confidence, households the CHWs do not visit. To explore the role of the larger community in shaping the CHWs mobility experiences, 25 community members will be interviewed and five CHWs observed as they conduct their home visits. The survey data will be merged with the maps to demonstrate if any disjunctures exist between CHWs' social geography and physical geography. Furthermore, the impacts these geographies have on home visitation rates and quality of services delivered will be explored. DISCUSSION: The study will provide generic and theoretical insights into how the CHW program policies and operations can improve working conditions to facilitate the work of female staff in order to ultimately provide high-quality services.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".