Канадська система агрологістики (управління поставками) та її значення в Україні
Bibliographic record
Abstract
Розкрито особливості та досягнення канадської системи агрологістики й управління поставками, яка є важливим чинником високої ефективності агропромислового комплексу Канади, що відома у світі як один із найбільших виробників та експортерів різноманітної сільськогосподарської продукції. Висвітлено механізм функціонування фермерських та тарифних квот із можливістю їх обміну на внутрішньому ринку, який нині успішно себе зарекомендував у промисловому птахівництві та молочній індустрії Канади. Запропоновано рекомендації із застосування канадської системи управління поставками в агро-промисловому комплексі Україні. Represented the features and achievements of Canadian agrologistics and supply management system – an important factor in the high efficiency of agriculture in Canada, which is known worldwide as one of the largest manufacturer and exporter of various agricultural products. Shown the mechanism of farm and tariff quotas functioning with the possibility of their exchange on the domestic market, which is now successfully proven in industrial poultry and dairy industry in Canada. Given recommendations for the use of Canadian supply management system in agriculture in Ukraine.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".