Reform and the Politics of Hybridization in Mature Health Care States
Bibliographic record
Abstract
This article examines the cases of three health care states -- two of which (Britain and the Netherlands) have undergone major policy reform and one of which (Canada) has experienced only marginal adjustments. The British and Dutch reforms have variously altered the balance of power, the mix of instruments of control, and the organizing principles. As a result, mature systems representing the ideal-typical health care state categories of national health systems and social insurance (Britain and the Netherlands, respectively) were transformed into distinctive national hybrids. These processes have involved a politics of redesign that differs from the politics of earlier phases of establishment and retrenchment. In particular, the redesign phase is marked by the activity of institutional entrepreneurs who exploit specific opportunities afforded by public programs to combine public and private resources in innovative organizational arrangements. Canada stands as a counterpoint: no window of opportunity for major change occurred, and the bilateral monopoly created by its prototypical single-payer model provided few footholds for entrepreneurial activity. The increased significance of institutional entrepreneurs gives greater urgency to one of the central projects of health policy: the design of accountability frameworks to allow for an assessment of performance against objectives.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.030 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".