Стратегические аспекты государственного регулирования доставки товаров . Strategic aspects of state regulation of goods delivery
Bibliographic record
Abstract
В статье рассматриваются проблемы регулирования сектором доставки товаров на государственном уровне в России и за рубежом. Транспортно-логистические затраты в России являются одними из самых высоких в мире, что негативным образом влияет на конкурентоспособность отечественных товаров. Анализируется опыт государственного регулирования транспортного сектора Германии, Канады, и Японии. Определены конкретные стратегические направления развития эффективной национальной системы товародвижения. The article deals with the management of the delivery of goods sector at the state level in Russia and abroad. Transport and logistics costs in Russia are among the highest in the world, which negatively affects the competitiveness of domestic goods. The experience of state regulation of the transport sector in Germany, Canada, and Japan. Identified specific strategic directions of development of an effective national system of goods.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".