Les systèmes réglementaires pour les nouveaux projets de centrales nucléaires dans sept pays : une analyse comparée
Bibliographic record
Abstract
Cet article se penche sur les mesures necessaires a l'octroi efficace d'autorisations reglementaires de creation de centrales nucleaires. Nous analysons a cette fin les normes internationales et comparons les systemes de sept pays (Allemagne, Canada, Etats-Unis, France, Japon, Royaume-Uni et Suisse). Cette etude se decompose en deux parties : les structures de decisions et les procedures d'autorisations. Nous proposons enfin un ensemble de recommandations qui pourraient ameliorer l'efficacite des systemes nationaux. Bien que conscients des differences culturelles regionales, nous esperons apporter des elements nouveaux et eclairants au debat naissant sur ces questions importantes dont l'actualite se fait de plus en plus pressante.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".