One step forward, one step back: Quebec's 2003–04 health and social services regionalization policy
Bibliographic record
Abstract
This article focuses on Quebec's most recent reform in the regionalization of health care to understand why the government chose to transform the regional boards into agencies. This case study used interviews and documentary analysis. Rooted in a political science perspective, the conceptual framework is inspired by the work of John Kingdon (1995) and draws on the four variables that influence the choice of policy: ideas, interests, institutions and events. Results of the case study suggest that Quebec's Commission of Study for Health and Social Services (the Clair Commission) in 2000 and the 2002 pre-electoral environment put the issue on the agenda. In 2003, the newly elected Liberal government passed Bill 25 – An Act Respecting Local Health and Social Services Network Development Agencies, which represented a political compromise: originally slated for eradication, the regional tier survived but in a new form. The element that sparked reform was the change in government following the elections. Different inquiry reports spread the reform's ideas, while interest groups articulated contrasting visions on the transformation. Above all, regional institutions showed great resilience in the face of change. From a historical perspective, this regionalization policy is a step backward: the regional tier is now stronger from a managerial and technocratic point of view, but it is politically and democratically weakened. This suggests a government intention, at that time, to maintain the regional level as a means of retaining centralized control over Quebec's health-care system.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".