Case Studies on Employment-Related Health Inequalities in Countries Representing Different Types of Labor Markets
Bibliographic record
Abstract
The authors selected nine case studies, one country from each cluster of their labor market inequalities typology, to outline the macro-political and economic roots of employment relations and their impacts on health. These countries illustrate variations in labor markets and health, categorized into a global empirical typology. The case studies illustrated that workers' health is significantly connected with labor market characteristics and the welfare system. For a core country, the labor market is characterized by a formal sector. The labor institutions of Sweden traditionally have high union density and collective bargaining coverage and a universal health care system, which correlate closely with positive health, in comparison with Spain and the United States. For a semi-periphery country, the labor market is delineated by a growing informal economy. Although South Korea, Venezuela, and El Salvador provide some social welfare benefits, a high proportion of irregular and informal workers are excluded from these benefits and experience hazardous working conditions that adversely affect their health. Lastly, several countries in the global periphery--China, Nigeria, and Haiti--represent informal work and severe labor market insecurity. In the absence of labor market regulations, the majority of their workers toil in the informal sector in unsafe conditions with inadequate health care.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".