Stimulants économiques et utilisation des services médicaux
Bibliographic record
Abstract
Having demonstrated that the traditional economic model of the market cannot be used in its present form to understand what is happening in the field of medical services, a presentation will be made of the factors affecting the behavior of physicians as purveyors of services, thus showing the importance of analyzing the influence of economic incentives on physician behavior. The analysis consists of measuring the change in the practice profiles of physicians from 1971 to 1973, and evaluating the influence of the fee schedule on this change. This research allows us to show that the personal characterictics of physicians, the characteristics associated with the organization of their practice and the area in which they practise are only very slightly related to the changes in the mix of the medical services produced by physicians; that the change in the profile of practice cannot be associated with changes in the populations' needs, and that the financial incentives incorporated in the fee schedule have been found to be mainly responsible for the shifts observed in the profiles of practice. We conclude by showing how these results are compatible with the hypothesis that physicians can influence demand for medical services.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".