ECONOMIC ANALYSIS OF THE TECHNICAL EQUIPMENT OF AGRICULTURE, THE CURRENT MECHANISMS FOR REGULATING THE AGRICULTURAL MACHINERY MARKET IN CANADA AND ASSESSING THE POSSIBILITY OF THEIR APPLICATION IN RUSSIA UNDER CONDITIONS OF IMPORT SUBSTITUTION
Bibliographic record
Abstract
АННОТАЦИЯ В статье проведена сравнительная оценка технической оснащенности сельского хозяйства Канады.Сравнение проведено со странами с сопоставимыми по размеру сельскохозяйственных угодий, климатическими условиями.Проанализировано изменение технической оснащенности сельского хозяйства Канады как в количественном, так и в стоимостном выражении.В статье дана структурный анализ машинотракторного парка сельского хозяйства Канады.В качестве источника эмпирического материала использованы данные официальной статистики Канады.На основе результатов экономической оценки технической оснащенности сельского хозяйства Канады сделаны выводы, которые можно использовать в качестве обоснований направлений развития сельского хозяйства как изучаемой страны, так их экстраполировать на страны со схожими условиями аграрного производства.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".