Health care determinants in comparative perspective: The role of partisan politics for health care provision
Bibliographic record
Abstract
Health care differs substantially across countries in terms of service provision relevant for social citizenship. Whereas driving forces for the expansion and subsequent decline of cash benefits have received major scholarly interest in comparative research, determinants of developments in public services are less explored. In this article we assess the role of partisan politics for health care provision measured in terms of health employment, hospital beds, and medical technology. Regression analyses based on Organization for Economic Co-operation and Development Health data for 18 countries covering the period 1980–2005 show that partisan politics influences levels of health care provision. Left government strength is positively related to health care provision and the association is driven by developments in health employment. Confessional parties are also associated with high levels of health employment, particularly when they are in close electoral competition with left parties. Both left and confessional government strength is negatively associated with the provision of hospital beds, but these effects are mitigated when parties are in intense electoral competition. In terms of medical technology, we find no partisan political effects.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".