The Evolution of Regulatory Approaches in Nuclear Power Oversight
Bibliographic record
Abstract
Nuclear oversight is a subject that is increasing in importance and has today reached a point where it is perhaps the most affecting factor for the nuclear power industry. The main purpose of this project was to investigate and compare the different types of factors that affect the oversight and safety priorities of nuclear regulators. Further, the idea was to get an understanding of in which direction the regulatory work has changed, how it will change and what the complications of that might be. The report is based on literature studies together with 18 qualitative interviews with experienced utility- and regulatory personnel in Sweden, Finland, USA and Canada. The obtained result indicates that there is currently an ongoing harmonization of the reactor safety requirements taking place, especially in Europe. This harmonization is driven by a number of large international organizations with IAEA, WANO and WENRA being the most significant. The countries that will be most affected by the harmonization are the ones that deviate most from the rest. All of the respondents in this study confirmed that the work associated with regulatory compliance will increase. Many also predicted that the increase in compliance would reach a level where the financial incentives associated with nuclear power generation are gone. Since many countries today have reactors that are getting close to their operational lifetime, their power industries and governments will soon stand before a crossroad whether to invest in new nuclear or not.
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 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 | 0.165 | 0.106 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.015 | 0.082 |
| Scholarly communication | 0.031 | 0.012 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.002 | 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".