Comparative analysis
Bibliographic record
Abstract
This Chapter presents a comparative analysis of medical politics and health reforms within three empirical cases in Canada and England. The aim is to understand the medical doctors–healthcare reform nexus and to test the theoretical model’s ability to explain key variations and points of convergence across the cases. The chapter first examines the impact of bargains and policy parameters set at the inception of PFHS on healthcare reforms. Second, it describes how governments address core policy dilemmas in the context of PFHS, such as escalating costs and problems with access to care. Third, it characterises the institution of medical politics as a core feature of contemporary PFHS that acts as a determining influence on healthcare reforms. Fourth, it focuses on the interface of medical doctors and governments’ agentic manifestations to investigate their influence on the evolution of their respective strategies. Finally, the chapter assesses how configurations of the four dimensions of the medical doctor–healthcare reform’s nexus have influenced the content of reformative templates over time. To various extent, the comparative analysis reveals that the interdependent relationship between the medical profession and the PFHS limits prospects for reform.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.141 | 0.011 |
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".