State Policy Priorities for Economic Security Provision among Processing Industries
Bibliographic record
Abstract
The Russian specificity of processing industry functioning does not allow domestic products to compete on an equal basis with imported analogues, not only at external, but also at the domestic market, which makes a negative impact on the level of economic security. In this context, the harmonization of industrial and trade policies can be viewed as the combination of individual development institutions aimed at the search of external and internal sources of investment resources, as well as the development of import-substituting industrialization policy trends. The results of modeling using the modified Grossman-Helpman model demonstrate that the hypothesis about the dependence of import tariff rate on the strength of industrial lobby groups is not confirmed. Consequently, the tariff foreign trade policy of Russia is a fragmentary one and does not develop the unified principles and priorities for key processing industry support. In this regard, the main task is the development of universal tools that allow to increase the level of business entity adaptability to the increased volatility of endogenous and exogenous factors negatively influencing the level of economic security among industrial complexes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".