The Influence of the Credit Policy of Commercial Banks on the Modernization of the Russian Economy Structure
Bibliographic record
Abstract
The model for the development of the Russian economy is based on the need for its structural adjustment. A big role in this process is played by commercial banks, whose credit policy is not yet aimed at actively supporting of investment processes in the economy. The purpose of the article is to study the directions and instruments of the influence of credit activity of commercial banks on the sectoral structure of the Russian economy. Based on analysis of the characteristics of Russian bank’s credit policy measures were proposed to enhance its targeted focus on the modernization of Russia's economic structure through the development and support of special lending programs, including with regard to spatial development requirements. For this, a methodology has been developed to justify the choice of the region for their most effective implementation using the Gale-Shapley theorem. The set of proposed measures can contribute to strengthening the role of commercial banks in ensuring sustainable development of the national economy based on the impact on its structure.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 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".