Development models of the cooperative sector in the agro-industrial complex of North American and European countries
Bibliographic record
Abstract
Abstract The research focuses on the characteristic features of the modern development in the cooperative sector in the agro-industrial complex of North American and European countries, taking into account the existing differences in legislation, national traditions, local differences, and the importance of the cooperative movement to search for effective responses to the new challenges of globalization of the economic space. The purpose of the work is to identify the most significant achievements and features inherent in the cooperative sector in the agro-industrial complex of the USA, Canada, France, and Spain. The paper presents quantitative data characterizing the level of development of cooperation in individual countries and the legislative framework for the functioning of agricultural cooperatives. The areas of activity of the largest cooperatives and measures for state support of the development of the cooperative movement in the USA, Canada, France, and Spain are considered. As a result, conclusions were formulated reflecting the significance of the contribution of cooperatives to the economic and financial stability of countries in the context of globalization, to the creation of jobs and increasing the innovative potential of business.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".