Bibliographic record
Abstract
With calls for the renewal of the nuclear energy industry in the United States and elsewhere, the international political economy of this troubled industry assumes increased importance. Though technical difficulties have plagued the industry for many decades, it is the equally problematic task of establishing public trust on which the article focuses. Arguably, with the advent of widespread concern over global warming, nuclear power offers a low-emission alternative. Yet safety, security, and political concerns color this highly centralized energy source, as well as its export-based political economy. The article traces the history of global nuclear commerce, as well as recent attempts to revive the industry. I suggest that efforts to re-legitimize the state-industry-power complex by way of nuclear commerce and associated discourse may have some success, but this will be tempered by sustained opposition to the centralizing tendencies of nuclear power and continued safety concerns.
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 | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.071 |
| Scholarly communication | 0.017 | 0.022 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".