Universal Public Health Insurance and Private Coverage: Externalities in Health Care Consumption
Bibliographic record
Abstract
Puisqu’il est possible d’acheter, à titre privé, des services de santé, on observe une inégalité dans l’accès à ces services. Or, cela semble poser, sur le plan des politiques publiques, un défi plus important que l’inégalité existant dans d’autres domaines. Dans cet article, j’analyse le rapport entre l’inégalité dans l’accès aux services de santé et le bien-être collectif. J’examine les sources de la demande d’assurance-maladie privée, et les liens qu’il y a entre cette demande et la santé, les tendances sur le plan des dépenses gouvernementales en santé, et le bien-être individuel et collectif. Ensuite, je suggère une approche originale, en matière de politiques publiques, d’aborder les coûts sociaux des services de santé.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 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".