Reserves are in innovation : Collection o f articles / Boris Zalessky
Bibliographic record
Abstract
The Strategy for Attracting Foreign Direct Investment in the Republic of Belarus until 2025 states that the priority of investment policy is the quality of investments, their value for increasing the competitiveness, economic security and stability of the domestic economy Such areas as high-tech and cience-intensive production, logistics, transport and digital infrastructure, the financial sector, the social sphere, as well as the tourism industry are considered to be promising for the attraction of foreign direct investment in the Belarusian economy. In 2021 foreign investors invested about nine billion dollars in the real sector of the Belarusian economy A significant contribution to the active investment policy is made today by the free economic zones of Belarus, whose residents from January to March 2022 attracted a record volume - a quarter of foreign direct investment on a net basis in the country As compared to 2021 they increased almost twice and a half times and amounted to 469 million dollars. How Belarus is currently addressing this challenge is discussed in the materials of the proposed study.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.022 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".