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Record W8816730

The Evolution of Regulatory Approaches in Nuclear Power Oversight

2014· dissertation· en· W8816730 on OpenAlexaboutno aff
Alexander Engström, Björn arkborn

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsHarmonizationNuclear power industryNuclear powerWork (physics)IncentiveBusinessNuclear industryCompliance (psychology)AccountingPublic economicsIndustrial organizationEngineeringEconomicsMarket economy
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.652
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.182
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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