[Regulating the distribution of health professionals in Germany, Belgium, the United Kingdom, Quebec and the United states: monograph study].
Bibliographic record
Abstract
The Province of Quebec and the United Kingdom have both a strong system of medical manpower regulation. Growth of the number of doctors--and consequently of health expenditures--is kept under control. Shortage of supply of health services increases the queuing process. In the two countries, the main problem is not how to curb health costs but to cope with the unmet demand. In Germany, the control of medical school intake is very weak. However, agreement of young doctors by the Sickness Fund is strictly controlled, the Fund having the right to close the list of "agreed physicians" in areas or specialties where doctor surplus is observed. In Belgium, a numerus clausus system is established very recently for medical school intake. In the USA, the health care system is traditionally regulated by the market forces. The strong increase of health expenditures during the recent decades has shifted the power from the medical profession to the paying bodies (HMO, MCO...) who are now supporting the emergence of new health personnels, less costly.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.021 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".