HEALTH SYSTEM REFORM IN CHINA: AN ASSESSMENT OF RECENT TRENDS
Bibliographic record
Abstract
In this paper, we first briefly review the changes that the Chinese health care system has undergone since the early 1980s. We then describe the major current health policy initiatives in urban and rural areas and discuss likely scenarios for their evolution over time. Using comparisons with international experience regarding different institutional arrangements in the health care sector, we also discuss whether the approaches taken in China are likely to strengthen the health care system in terms of efficiency and equity. Our conclusion is that in order to predict how effectively China's future health care system will perform in the future, one must have more information about what role the state (central government) will play, as regulator, partial funder and direct provider in the system. We believe that the best strategy at present is to allow the development of a mixed model with significant roles for both the state and the private sector, in both the supply of health care services and the provision of health insurance.
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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 | 0.004 | 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 | 0.000 |
| 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".