INNOVATIVE DEVELOPMENT AS A FACTOR OF THE NATIONAL ECONOMY COMPETITIVENESS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Russian enterprises are not paying enough attention to the issues of innovative development, while global trends demonstrate the increase of enterprises competitiveness through the introduction of innovations. Innovations are able qualitatively improve enterprise performance indicators in conditions of tough competition. For many domestic enterprises, in such conditions the innovation and its specific results could be a key criterion of success. Lack of investment is the most important problem holding back innovations. The experience of support and development of innovations in Canada and South Korea has been considered in the article. It has been concluded that in general the Russian Federation is experiencing a global transfer to an innovative economy, which in the future should be an undoubted advantage for the production of competitive products. The creation of radically new products and services, as well as the enhancement of existing ones, will allow Russian enterprises systematically improve their image, increase their business reputation, which will attract more investments.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it