The Organization of Decision‐making and the Dynamics of Policy Drift: A Canadian Health Sector Example
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This historical‐institutionalist case study of public–private change in the rehabilitation health sector in Ontario, Canada, seeks to build on literature about the politics of policy drift, particularly with respect to health care systems. Rather than turning to higher‐order institutional factors, such as federalism and overall financing agreements between states and the medical profession, or to economic indicators such as change in expenditures, however, it posits that the particularities of how welfare‐policy sectors are organized with respect to their decision‐making contribute to drift. Such organization is framed by two factors. The first is the set of rules by which the public–private boundary is drawn, and the second is the structuring of public institutions that set legislation and regulation, and organize the policy networks attendant on them, around these boundaries. The degree of coordination or fragmentation among these, this case suggests, is a factor in the politics and dynamics of drift.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| 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 it