The quest for a better performing health system: Public expertise and corporate management recipes in France
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
Though the government pledged to cut the public deficit from 7.7% of the gross domestic product in 2010 to 3% by 2013, thereby responding to EU Normative power, health expenditures continue to rise, because public demands are higher and more social problems are handled in the health care setting. With French budget deficit threatening France's credit rating, novel instruments were needed. These included corporate management recipes (e.g., pay for performance contracts, patient volume targets, and management by objectives), new compensation mechanisms (e.g., activity‐based accounting and a nationwide scale of health care costs) and far‐reaching laws (e.g., the 2009 HPST bill). Our approach investigates some critical elements of the French health care system. We focus on primary (e.g., family physicians and General Practitioners) and secondary (e.g., hospital and specialty) care. We explore how policies such as the standardization of health services, the regrouping of health policy decisions within the larger Regional Health Agencies, affected citizens' engagement and physicians' autonomy. A French welfare elite pursued a hybrid strategy, regulating quasi‐markets of care providers in a postcompetitive government, while creating supportive conditions for a vibrant private hospital sector. Reforms also emphasized evidenced‐based policy, outputs‐rather than outcome‐measurement, and performance evaluation in a bid to streamline the delivery of health services.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 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 | 0.001 |
| 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