Public Administration in the Field of Using and Protecting Land Resources: International Experience and Ukrainian Realities
Bibliographic record
Abstract
The generalized experience of management in the field of using and protecting land resources in such countries as Denmark, Canada, Latvia, Germany, Poland, the USA, Switzerland, France and others, as well as features of management realization of this sphere in Ukraine have been considered. The purpose of the article is to determine the possibility and feasibility of introducing some elements of positive experience of management of developed countries into Ukraine in the field of use and protection of land resources. The methodological basis of the article is a set of general scientific and special research methods. In particular, the method of analysis allowed to study the features of the management of developed countries in the field of use and protection of land resources and to identify inconsistencies in the provisions of national legislation regulating land relations; The comparative legal method was used to compare foreign and Ukrainian experience of management in the field of use and protection of land resources, as well as the possibility of using certain measures aimed at the rational use of land in Ukraine. Two types of measures used in other countries to ensure the rational use and protection of land resources have been identified and considered: administrative (which are the form of implementation of state land policy and part of government activities) and economic (which are positive or negative incentives for land owners and users). The main problems that exist in the field of land management in Ukraine have been revealed. It has been emphasized that the State Service of Ukraine for Geodesy, Cartography and Cadastre performs at the same time diametrically opposed powers, which are conducive to corruption. It has been concluded that in order to ensure the rational use and protection of land resources, especially in the conditions of opening the land market in Ukraine, it is necessary to adopt the experience of more developed countries and make appropriate amendments to national legislation.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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".