New Approaches to Providing of Environmental Management in Ukraine on the Way to Euro Integration
Bibliographic record
Abstract
The article is devoted to the research of the latest approaches to providing of environmental management in Ukraine on the way to European integration. Based on the research, the necessity of introducing new approaches to providing of environmental management in Ukraine as one of the most important directions of European integration processes in Ukraine as a whole has been substantiated. The ways of improvement of separate directions of ecological management are offered, which are considered in the article through the prism of separate functions of ecological management and are considered innovative, in particular, for Ukraine. The European aspirations of Ukraine in the environmental sphere have been argued by the norms of the recently adopted Association Agreement between Ukraine, on the one hand, and the European Union, the European Atomic Energy Community and their member states, on the other. The prospective directions of introduction of the mentioned approaches in the modern practice of public administration of Ukraine, given the high environmental risks and threats faced by the entire world community, are indicated. Keywords: environmental management, public management of the environmental sphere, new approaches to providing of environmental management, eurointegration, European integration processes in the environmental sphere.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".