Determinants of Choice of Care Providers During Childbirth in Rural West Bengal, India
Bibliographic record
Abstract
The article analyses determinants of choice of care providers during childbirth. Public health facilities provide care for free to all women during childbirth in West Bengal. In addition, a cash incentive is also attached with the service package for poor women who give birth at public health facilities. However, a section of women still prefer to give birth at home and some avail services from private facilities. The article attempts to explore the reasons underlying such difference. This analysis is based on primary data collected from four villages of Jalpaiguri district following multistage sampling method. It involved a survey of 251 households having at least one child below 2 years. Multinomial logistic regression model was used to analyse the data. The results suggest that quality of public health services, rural infrastructure, utilization of antenatal care and conditional cash transfers influenced the choice of care providers. Women who were eligible for and were aware of Janani Suraksha Yojana were less likely to go to private health facilities for childbirth. However, the programme did not seem to be effective in terms of reducing delivery at home.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".