Socio-Economic Impact of International Technical Assistance Programs on the State of Public and Administrative Services in the Amalgamated Hromadas of Ukraine
Bibliographic record
Abstract
The article considers the main issues related to the implementation of projects and programmes of international technical assistance to Ukraine in the field of public and administrative services.It is substantiated that the impact of international technical assistance can improve the state of administrative services throughout the country and directly in local communities.Within the framework of this topic, the authors of the article analysed the programmes of international technical assistance to Ukraine, which improve and enhance the provision of public and administrative services.Under such conditions, the implementation of programmes and projects of international technical assistance should consider: feasibility, efficiency, realism, logic, relevance, sustainability and risk management.Although administrative service centers (ASC) are already in place in local communities, their quality and affiliation remain in question.During the period of implementation of the decentralization reform on the territory of Ukraine, the programmes of international technical assistance, which contribute to the receipt of institutional and physical support by local authorities, play a significant role.In these processes, the provision of public and administrative services also receives appropriate support, not only at the state and regional levels, but also at the level of amalgamated hromadas of Ukraine.Each amalgamated hromada is trying to create an appropriate system of providing administrative services close to the people, establishing on its own administrative services centers of or Centers "Dija".
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".