Pregnancy, delivery & family planning : a study of health-seeking behaviour in Meopur village in Rajasthan, India
Bibliographic record
Abstract
Abstract \n\nThe objective of this thesis is to present an interpretive account of how knowledge influences health seeking behaviour related to pregnancy, delivery, postpartum and family planning and how such knowledge affects the utilization of government health-services. This thesis builds on eight months of fieldwork I conducted in India in 2010, from January to July and one-month revisit in December. I lived in Meopur village for five of the eight months of fieldwork. \nVillagers have a wide spectrum of ideas and practices to ensure fertility, and to protect mothers and their newborn babies against illness and malignant forces. This confirms that Mother- and Child-health” has been and still is a major concern for the villagers in Meopur. During the last decade, Mother and Child health has also increasingly become a focus in the global agenda. United Nations Millennium development goal number 4 is to reduce infant and child mortality rate with two-thirds-, and goal number 5 is to reduce maternal-mortality ratio by three quarter between the years 1990 and 2015. The Indian government has introduced several health initiatives since 2005 whose goals are to reduce the risks of maternal and child mortality in India. This includes engaging local women to motivate new mothers to start breastfeeding right after delivery, to breastfeed exclusively for six month after delivery and to eat nutritious food during post partum. The government hopes to increase the number of women who give birth at hospitals and to make them responsible citizens, and to limit their family sizes through the use of contraceptives.\nGovernmental health workers introduce new knowledge and practices to the villagers, and desires to change what, from their perspective, is perceived as harmful practices performed by backwards and illiterate villagers. Practices which they see as potentially dangerous to mother and child. The villagers see these practices as necessary precautions to prevent severe risks of illness. \nDifferent types of Knowledge concerning mother and child health are unequally distributed between healers, doctors, health workers and villagers, between grandmothers and new mothers and, of course, between individuals. How does this affect the villagers health seeking behaviour?
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".