Bibliographic record
Abstract
The speaker was Rochelle Becker, Executive Director of the Alliance for Nuclear Responsibility.The information presented was both revealing and upsetting and is documented extensively in a pamphlet entitled: "Why a Future for the Nuclear Industry Is Risky."These sources emphasized the problems that exist, especially in the USA.This editorial is based on these sources.We should all know that: first, investments in nuclear power are risky as indicated by the fact that Wall Street has chosen to stay clear; second, nuclear power plants are stated terrorist targets and carry serious risks of their own; third, nuclear power will not reduce our dependencies on foreign energy as is sometimes claimed; fourth, nuclear-generated electricity does not compare favorably with electricity derived from either the combustion of fossil fuels or renewable sources such as wind, solar, geothermal, wave, and tide, and finally, there is currently no good means of nuclear waste disposal, hence more environmental pollution.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.024 | 0.006 |
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".