Inequality in mortality decreases with age: Evidence from developing countries using census data
Bibliographic record
Abstract
With some exceptions, studies consistently find that mortality rate ratios between the highest and lowest socioeconomic status (SES) groups are substantially larger among the young-age population, rather than the old one. This pattern is relevant for policy and research, but it has seldom been explored in populations of developing countries. In this study, eight samples in the Integrated Public Use Microdata Series (IPUMS) that contain mortality data (El Salvador 1992, Rwanda 2002, Senegal 2002, Sierra Leone 2004, Uganda 2002, Malawi 2008, Brazil 2010, and Zambia 2010) and information about household assets are analyzed, and, using SES of equal relative size, results in seven out of eight cases are the same as those in developed societies: ratios are larger among the young age group and among men. Therefore, the ratio of mortality by relative-SES also decreases with age in several developing ones.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".