The Role of Public-Private Partnership in the Development of Critical Infrastructure to Achieve the Sustainable Development Goals in Ukraine
Bibliographic record
Abstract
The article is aimed at researching the institutional bases of the infrastructure projects management, which are financed by the means, attracted on the basis of public-private partnerships in terms of ensuring compliance of such projects with strategic government priorities, in particular those that meet the National Sustainable Development Goals, as well as defining directions of development of the system of management of infrastructure projects, providing its efficiency and sustainability. It is noted that, despite the possibilities to attract financial resources for infrastructure upgrades, the existing mechanisms require improvement in terms of stimulating the attraction of business on the terms of public-private partnerships for implementation of critical infrastructure development projects to achieve the Sustainable Development Goals in Ukraine. The article defines the main sources of financing for projects of the development of critical infrastructure in Ukraine. The experience of European countries, Canada and the USA on implementing public-private partnership projects is analyzed. The necessity to apply the mechanism of implementation of infrastructure projects on the basis of public-private partnership is substantiated. Further steps to develop critical infrastructure in Ukraine under the terms of public-private partnership, taking into account the achievement of the Sustainable Development Goals, are proposed.
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 | 0.003 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 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".