THE ANALYSIS OF THE MAIN INDICATORS OF INTERNATIONAL TECHNICAL ASSISTANCE OF UKRAINE
Bibliographic record
Abstract
The implementation of Ukraine's social and economic development program requires significant funds. Domestic sources of funding are very limited and improve the economy to support vital areas of society. Therefore, the Government of Finance of Ukraine pays special attention to finding sources of economic development. One such source of funding is international technical assistance, the main task of which is to promote economic and social transformation in countries with economies in transition, including Ukraine. The purpose of the article is to analyze the main indicators of international technical assistance to Ukraine. The article is devoted to the analysis of the main indicators of international technical assistance to Ukraine. In the article, the authors analyze and provide the number of international technical assistance projects by development partners. The article presents statistics on the number of international technical assistance projects by sector, namely law enforcement reform, energy efficiency, agriculture and land market development, education and science reform, judiciary, health care and reform, ecology and household waste management, development democracy and the electoral process, deregulation and development of entrepreneurship, development of trade and export potential. In the article, the authors examined the amount of international technical assistance provided by sector in accordance with the estimated cost of projects. In the article, the authors consider the amount of funds used for international technical assistance in the framework of existing projects in 2020 by development partners, namely from the European Union, Great Britain, the United States, Germany, the Organization for Security and Cooperation in Europe, the United Nations , Canada, Nordic Environmental Finance Corporation, Switzerland, Norway, Sweden, European Investment Bank, International Bank for Reconstruction and Development, Japan, Denmark. The article presents statistical data on the amount of international technical assistance provided by forms of assistance, namely the purchase of vehicles, equipment, communication services, rent, software, business trips, conferences and media events, trainings, construction work, repairs, information services and consultations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".