THE LEGAL REGULATION OF CLIMATE CHANGE IN UKRAINE: ISSUES AND PROSPECTS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When the climate change is one of the most urgent, complex and challenging global problems of the present, threatening global economy and international security, it has to be primarily regulated domestically, at the level of a State. The present article aims to examine the current state of legal regulation of the climate change issues in Ukraine. Accordingly, the critical analyses of the national legislation on climate change regulation and whether it corresponds with the State policy’s strategic aims are conducted; the provisions of strategic documents on climate change adaptation and mitigation in Ukraine are examined and the evaluation of such regulatory mechanism’s efficiency and effectiveness is performed. As a result, the author points out the drawbacks of national policy and law encompassing the climate change and offers a set of suggestions for its improvement.
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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 it