Bibliographic record
Abstract
The question of what to do with radioactive waste has dogged political administrations of nuclear-powered electricity-producing nations since the inception of the technology in the 1950s. As the issue rises to the forefront of current energy and environmental policy debates, a critical policy analysis of radioactive waste management in the UK provides important insights for the future. Nuclear Waste Politics sets out a detailed historical and social scientific analysis of radioactive waste management and disposal in the UK from the 1950s up to the present day; drawing international comparisons with Sweden, Finland, Canada and the US. A theoretical framework is presented for analysing nuclear politics: blending literatures on technology policy, environmental ethics and the geography and politics of scale. The book proffers a new theory of "ethical incrementalism" and practical policy suggestions to facilitate a fair and efficient siting process for radioactive waste management facilities. The book argues that a move away from centralised, high capital investment national siting towards a regional approach using deep borehole disposal, could resolve many of the problems that the high stakes, inflexible "megaproject" approach has caused across the world. This book is an important resource for academics and researchers in the areas of environmental management, energy policy, and science and technology studies.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.010 |
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".