National study into waiting of the postgraduate students of general medicine on installation and medical demography (synthesis and methodology)
Bibliographic record
Abstract
Ce travail s'enrichi d'un regard sur la planification de la population médicale en Allemagne, au Royaume-Uni, au Québec, en Belgique et aux Etats-Unis pour présenter un historique de la démographie médicale française et les conséquences inquiétantes des décisions prises ces 30 dernières années. Notamment la grande dévalorisation de la médecine générale. Nous proposons quelques explications sur la situation et nous réalisons une étude nationale auprès des futurs généralistes. L'étude est en cours, et les résultats ne peuvent être présentés dans ce travail. Le but est de comprendre les comportements que s'apprêtent à avoir ces jeunes praticiens. Nous souhaitons faire émerger des propositions qui influeraient favorablement sur leurs comportements et garantiraient ainsi un accès à la médecine de premier recours pour tous. La parole sera ensuite aux pouvoirs publics qui devront prendre leurs responsabilités pour offrir des soins de qualité à toute la population française.
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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 | 0.018 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".