Bibliographic record
Abstract
The purpose of the presented scientific work was: a historical review and identification of the main root causes of the emergence of threatening natural phenomena on the planet; outlining of key areas and sectors of the population's life; analysis of the influence of society and official authorities on the control and management of issues in the field of natural disasters; modelling of possible consequences and ways to solve the most threatening problems due to climate change.The main method of scientific cognition that was used in writing this article is the system-analytical method, with the help of which, using the processes of analysis and modelling, the causes were identified, the directions of direct impact were outlined and logical alternatives and solutions to the problems that have arisen against the background of climate change and natural disasters were provided.The main results obtained during the study of the presented topics are as follows: the main causes of the onset of irreversible climate change on the planet are identified; the most vulnerable to natural anomalies areas of public and state direction are highlighted; common methods and means of climate change control are studied.The authors conclude that future climate change impacts will intensify unless mitigation efforts are increased, thereby not only neutralizing, but also potentially benefiting, humanity and Earth's future.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".