SPECIFIC FEATURES OF DECENTRALIZATION PROCESS DEVELOPMENT IN UKRAINE: MODERN ASPECTS
Bibliographic record
Abstract
The main goal of the research is to analyze modern aspects of decentralization process in Ukraine, taking into acount the peculiarities of its functioning and development, the perspective ways of its development. The article presents the peculiarities of decentralization development in Ukraine. Some decentralized models of different countries of the world are analyzed. Some special forms of governmental support of territorial communities in Ukraine are given. Among them there are informational, methodical, financial, organizational issues. The appropriate projects and programs which were implemented in Ukraine and supported by the European countries and international organizations are described. It is established that today Ukraine's long-term plan of activities as for the reforms' implementation is financially supported by such international financial and donor organizations as the Swiss Cooperation Office, the Canadian International Development Agency, the Eastern Europe Foundation, the PAUCI Foundation for Ukrainian-Polish Cooperation, the European Union. It has been proven that through economic programs, investment projects and contracts at the local level some issues of economic development, landscaping, social assistance, culture and health care can be solved The financial incentives for the effective development of local communities in terms of intergovernmental transfers and donor financial assistance are substantiated. It was found that as a result of tax reform and reform of inter-budgetary relations, local authorities receive additional financial resources to fulfill a significant number of their own and delegated powers. It is emphasized that the state assumes responsibility for the social status of its citizens. That means the policy pursued at the state level should be consistent and socially responsible. The management system of the State Regional Policy (RPM) in Ukraine is observed. It was found out that some uninvolved potentials of the Ukrainian development at different levels of functioning should be activated. According to that it is planned to develop and improve new system of State Regional Policy management by implementing the efficient programs and projects. It is established that the State Fund of Regional Development (SFRD) has been established at the governmental level in order to support investment programs and projects of local and central executive bodies and local self-government bodies. It has been proven that as a result of financial decentralization a new model of the budget and tax system can be formed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".