Проектное финансирование в современной России: опыт и перспективы
Bibliographic record
Abstract
Авторами рассмотрен ряд направлений, определяющих функционирование проектного финансирования в Российской Федерации: нормативно-правовое обеспечение и актуальность проектного финансирования как инструмента экономического развития, его взаимосвязь с национальными целями развития страны; на примере института развития Банк делового развития Канады рассмотрены подходы, реализуемые в зарубежной практике проектного финансирования; рассмотрен механизм предоставления и возврата средств в рамках Программы «Фабрика проектного финансирования»; дана характеристика принципиальных отличий Программы «Фабрика проектного финансирования» от его общепринятой практики; установлены преимущества программы и возможные резервы ее дальнейшего расширения. The author examined a number of areas that determine the functioning of project financing in the Russian Federation: legal support and relevance of project financing as an instrument of economic development, its relationship with the national development goals of the country; using the example of the development institute Business Development Bank of Canada, the approaches implemented in foreign practice of project financing are considered; the mechanism for the provision and return of funds was considered within the framework of the Project Finance Factory Program; a description of the fundamental differences between the Project Finance Factory Program and its generally accepted practice is given; the advantages of the program and possible reserves for its further expansion have been established
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".