Prospects for the Use of Private Sector Capital in the Development of High-Tech Industry
Bibliographic record
Abstract
Relevance : The solution to the problems of competitiveness of innovative technologies and products in global markets, accelerating the process of import substitution (if existing international economic sanctions by Russia) perhaps with the active using the capital of private business. This calls for the formation of certain financial and economic conditions of overcoming the barriers of innovative development of enterprises. The novelty of the present scientific research is in the following: the main vectors of transformation of innovative development of high-tech industrial enterprises, the necessity of wide use of capital of private business in the form of portfolio investments co-financed by the innovative projects. Practical usefulness. The increase in the share capital of private business in implementing innovative programs will reduce the financial burden on the federal budget. To increase the possibility of accelerating the processes of development of public-private partnerships and venture financing. Will expand the scope of use of the capital of private business in creating science-based dual-use products, implementation-oriented private commercial contracts in various sectors of the economy. The future economic development of the country depends on the development and implementation of new technological researches that can make a certain breakthrough in providing technological and economic growth. The life cycle (LC) of any innovation embodied in specific correlation: Innovative idea → Conducting of fundamental research studies →R&D → Pilot production → Mass production → G radual elimination of aging equipment and technology with better analogues.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".