State Support for Creation and Development of Socially-Oriented Innovative Enterprises
Bibliographic record
Abstract
The article presents an analysis of international experience and of state support of social and innovation activityof organizations and possibilities of its application in Russian enterprises are considered. Internationalexperience of state support for social and innovation activity of enterprises is considered. Socially-orientedinnovative enterprises must be considered as the most important instrument for the development of innovativeenvironment. These companies should primarily provide interaction between the production and public sectors.In modern conditions, one of the key factors of economic development is innovation. Key role in the innovationprocess is given to social oriented innovative enterprises. These companies are the source of innovationinitiatives; they create demand for innovation, responsible for their implementation. The article examines thefactors of innovation activity of socially-oriented enterprises and establishes the reasons hindering rates ofinnovation activity.When selecting the directions of innovative development of individual economic entities it is necessary toconsider many components of both external and internal environment: innovative climate, innovative position,innovative potential and innovative activity.Essential preconditions for increasing the innovation activity of the country, as a whole, are to improve scientific,educational and operational components of the innovation potential.One of the biggest indicators of innovation activity of the economy as a whole is the willingness of enterprises toadopt innovative solutions in its operations. Demand for innovation, both product and technological ones, isdirectly related to the need of modernization, technical re-equipment, reconstruction of existing enterprises.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".