Health inequalities in Argentina: Patterns, contradictions and implications
Bibliographic record
Abstract
AbstractThis paper examines the social gradient in self-reported health in Argentina, and at the provincial level, explores the extent to which self-reported health and mortality indicators provide dissonant health profiles. This study is based on a secondary analysis of Argentina's 2001 Survey of Living Conditions. A significant gradient in self-reported health was observed by income quintile, but self-reported health and mortality indicators were not significantly correlated at the provincial level. Respondents from deprived regions were most likely to report being in good health, despite living in areas with low life expectancy and high infant mortality; in other words, respondents from areas of poor population health nevertheless report good individual health. Unless acknowledged, this will ultimately lead to an underestimate of the social gradient in health. The implications of this notion for tests of the income inequality hypothesis are discussed.Key Words: sociologyhealth inequalitysocial surveysArgentina
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".