NEW MEASURE OF STATE SUPPORT FOR IMPORT SUBSTITUTION IN RUSSIAN AGROINDUSTRIAL COMPLEX
Bibliographic record
Abstract
The issue of using domestic over imported goods (import substitution) and adjusting accordingly the agricultural policy has become critical following the Russian food import ban on specifi ed types of agricultural products, commodities and food products from the United States, the European Union, Canada, Australia and Norway, and due to deteriorated relations with Ukraine and Moldova. New sub-programs have been added to the State Program for Development of Agriculture and Regulation of Agricultural Commodity and Food Markets so that import substitution can be accelerated. However, none of the new sub-programs has happened to foster import substitution. In some cases (e.g., subsidies for purchases of pedigree seeds, raw materials), the eff ect has been quite the opposite of what was supposed to be. Funding has been cut almost for all sub-programs to the extent that it is incomprehensible that development of respective industries has been announced as a priority and how the targets can be achieved. The foregoing suggest that the Russian agricultural policy need to be adjusted and updated.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".