Decentralization of Authorities and Local Government Reform in Ukraine: Their Impact on the Efficiency of Public Law, Power and Strengthening of Democracy
Bibliographic record
Abstract
The decentralization of power in Ukraine, together with its impact on the efficiency of public authority and strengthening of democracy, is considered through a prism of theoretical concepts, dealing with the variety of types and major decentralization models, coupled with the corresponding advantages and risks.Research Design & Methods: The analysis covers the research and theoretical concepts, offering their own approach to decentralization by delegating certain public authorities to a lower level.It also considers the experience of other international countries to pass the decentralization process; the tools and risks that may be associated with the decentralization process; and the achievements and challenges of the decentralization process DOI 10.32370/IA_2019_02_13 in Ukraine.In the same time, the authors concentrate on substantiating the importance of balancing the national and local interests.Contribution / Value Added: Although being theoretical, the article provides a foundation for a successful implementation of the decentralization process in Ukraine, which is a part of the most sectoral reforms.Finding and recommendations: The authors believe that efficiency of public authority and strengthening of democracy in Ukraine shall depend on the ability of political elite to cooperate creatively and constructively for the further implementation of reforms under condition of the delineation of competences, functions, and responsibilities between the central, regional and local levels of government and territorial communities based on the new administrative and territorial division.It shall also depend on a greater political involvement among the primary holders of political power (citizens and community), which entails a greater understanding and support within a political elite and society.In case of Ukraine, the decentralization represents the imperative of our time and the foundation of the democratic governance model.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".