Concerning the Actions Japan Should Take for the Expansion of Nuclear Energy Use in the World as a Measure against Global Warming
Bibliographic record
Abstract
2005, in which, a portfolio of actions for developing safe and secure nuclear energy across three different time frames; near-term, medium-term and long-term are presented under the recognition that such development does and will contribute to global energy security, while simultaneously addressing the climate change challenge. In recent days, due to steady increase in the primary energy consumption worldwide, energy security is becoming a major global concern. Simultaneously, it has been recognized that a major reduction in greenhouse-gas emissions is required to combat climate change. In May 2007, Japanese government presented to the world an initiative to address global warming entitled "Invitation to Cool Earth 50, ” under which a target of cutting global emission of greenhouse-gases by 50 % from the current level by the year 2050 was proposed. In the Heiligendamm G8 summit 2007 declaration, “Growth and Responsibility in the World Economy, ” it is mentioned that the decisions made by European Union, Canada and Japan which include at least a halving of global emissions of greenhouse-gases by 2050 will be considered seriously in setting a global goal for emissions reductions. Considering such circumstances, AEC set up in June 2007, Round-table Conference on the
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.014 | 0.006 |
| 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".