Kinship, Caste, and Health: Illness and Treatment in Upland Orissa
Bibliographic record
Abstract
This paper investigates whether an individual’s relationship to the head of household and caste are associated with the level of his or her morbidity and, in the event of illness, the treatment received. Surveys of 279 households drawn from 30 villages in a region of upland Orissa were conducted in 2010 and 2013, yielding an unbalanced panel of 1578 individuals, 1077 of whom were present in both years. Whether judged by morbidity as the final outcome or two measures of treatment in the event of sickness, there is no evidence that female kin fared worse than their male counterparts – except in the inherent difference arising from pregnancy. The upcoming generations of children and grandchildren enjoyed better outcomes, regardless of their sex and controlling for age. Members of the Other Backward Caste group enjoyed both better chances of getting treated in a hospital and lower morbidity than their Scheduled Tribe and Scheduled Caste counterparts. Viewed overall, the treatment an individual received depended rather on the characteristics of the family’s village – its topography and its place within the network of health facilities and all-weather roads.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".