The Moral Imperative of Green Nuclear Energy Production
Bibliographic record
Abstract
A climate crisis is upon us. Human-caused global warming is already changing our planet's climate in dramatic ways, and the effects are forecast to become far worse by the end of the century without rapid and radical changes to the global energy economy and the other forms of human activity that generate CO2 and other greenhouse gases, such as methane. The ten hottest years on record have all occurred since 1998, with the past five years topping the list. We already see the disappearance of the arctic ice pack, massive glacial melting in Greenland, sea-level rise, massive wildfires in northern Canada, the Amazonian rainforest, the western United States, Spain, France, and Siberia, ever more violent storms, and rapidly warming ocean temperatures. If we are to avoid potentially catastrophic climate change by 2100 by limiting the rise of global mean surface air temperature to 2.OC, compared to the twentieth-century average, then we must aim for the complete decarbonization of the energy economy, which will then also include a more or less totally electrified, global transportation system, by no later than 2065. The question is, "How do we do that?"
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.031 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".