Une comparaison entre divers établissements de services de première ligne en santé au Québec (Canada)
Bibliographic record
Abstract
This paper presents an empirical and comparative investigation of four types of organizations providing primary health care services: private clinics, community centres, health coops and community associations. Case studies were done following a common design for data collecting and analysis, taking into account the organizations' context of creation, their institutional dimension (structure of power and political system), their organizational dimension (co‐ordination and production of health care), and their main paths of development. Results show that organizations present many differences when it comes to delivering universal, accessible, and complete health care services. Non‐profit organizations offer more promising perspectives for patients and health care workers by encouraging them to participate in their management. Health coops' openness depends on their nature: while consumer coops encourage patient participation, producer coops allow employees to make decisions. In this sense, patients and employees in collective health care organizations seem to have more political advantages than in private organizations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".