Inter-state Inequality in Infant Mortality in India, 1981-2000
Bibliographic record
Abstract
Based on the estimates of infant mortality rate available through the sample registration system this paper measures levels and analyses trends in inter-state inequality in the probability of death during infancy in India by rural and urban residence for the period 1981 through 2000. The analysis reveals that with the declining levels of infant mortality the absolute inter-state inequality in the probability of death during infancy has also decreased for the country and for its rural and urban populations. In terms of relative inter-state inequality however the declining trend in inequality could be observed in rural areas only; in urban India the relative inter-state inequality in infant mortality has tended to increase during the 20 years under reference. There is a need of a community based public health services delivery network in the urban areas to address the increase or stagnation in relative inter-state inequality in urban infant mortality rate in India. (authors)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".