Energy and environmental safety in the context of nuclear energy development
Bibliographic record
Abstract
The article analyzes the main causes of the global energy crisis, the connection between energy and environmental safety in the context of the global development of society. Attention is focused on the sharp lag between nuclear and renewable energy in terms of attracting investment. The structure of the world's nuclear power industry is analyzed. The types, technologies and terms of operation of nuclear reactors are analyzed, as well as the prospects for introducing new technologies and unit designs into the nuclear power industry. It is shown that the majority of operated nuclear reactors do not always meet modern requirements in the context of technological efficiency and environmental safety. The reasons for the uncontrolled proliferation of nuclear weapons, possible accidents at nuclear power plants, and the danger of nuclear waste accumulation are analyzed. The causes and consequences of accidents at the Fukushima NPP were analyzed in the context of the operation of reactors in regions with a high seismic risk. It is shown that nuclear technologies will have to change in order to be in demand for power generation. It is believed that the future of nuclear power lies in fast neutron reactors, traveling wave nuclear reactors, and technologies that use thorium isotope instead of enriched uranium. Small modular reactors (SMRs), small in size and capacity (for example, the Oklo Aurora reactor, which is undergoing the licensing process in the United States and Canada), should take a special place in the nuclear power structure. It is noted that the full realization of the potential of modern nuclear technologies on a global scale will require new, more flexible rules of regulation, licensing and financing, as well as updating the global basis of nuclear security and non-proliferation of nuclear weapons.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".