Les systèmes réglementaires pour les nouveaux projets de centrales nucléaires dans sept pays : une analyse comparée
Bibliographic record
Abstract
\n Cet article se penche sur les mesures nécessaires à l’octroi efficace d’autorisations réglementaires de création de centrales nucléaires. Nous analysons à cette fin les normes internationales et comparons les systèmes de sept pays (Allemagne, Canada, Etats-Unis, France, Japon, Royaume-Uni et Suisse). Cette étude se décompose en deux parties : les structures de décisions et les procédures d’autorisations. Nous proposons enfin un ensemble de recommandations qui pourraient améliorer l’efficacité des systèmes nationaux. Bien que conscients des différences culturelles régionales, nous espérons apporter des éléments nouveaux et éclairants au débat naissant sur ces questions importantes dont l’actualité se fait de plus en plus pressante.\n
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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 | 0.016 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".