Energy security : managing risk in a dynamic legal and regulatory environment
Bibliographic record
Abstract
* Energy Security problems are common: there have been major difficulties in California, New Zealand, Brazil, France, and (most recently) in the Eastern USA and Canada. * This book is unique in covering what the state, through law, requires energy providers to do in order to prevent such crises. This volume examines energy security in a privatized, liberalized, and increasingly global energy market, in which the concept of sustainability has developed together with a higher awareness of environmental issues, but where the potential for supply disruptions, price fluctuation, and threats to infrastructure safety must also be considered. Part I commences with an essential introductory chapter which defines energy security and sets forth the key issues and themes of the book. There then follow several cross-cutting chapters which include sceptical analysis of energy security claims from an environmental perspective and a broader geopolitical analysis of energy security. Part II examines a wide variety of international, regional, and national approaches to energy security issues. Energy security concerns differ considerably from country to country, however most of the chapters examiming particular nations provide an economic and historical context of their energy security concerns, followed by a detailed analysis of the legal provisions relating to each of the main energy sectors (oil, gas, coal, electricity, nuclear, and renewable energies). This entails examination of regulation, organization, and planning for security and other purposes. In a number of cases, energy security law is shaped by other factors such as market liberalization, environmental protection, and competition policy. Part III comprises two final chapters, the first contrasting the various national and regional approaches and analysing cross-cutting issues, whilst the concluding chapter forecasts future trends in the legal regulation of energy security.
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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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.024 | 0.025 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".