Cooperatives and the Commodity Political Agenda: A Political Economy Approach
Bibliographic record
Abstract
Historically, major agricultural cooperatives in Canada have been intimately involved in commodity policy issues. Large cooperatives were created because farmers were upset about the perceived lack of competition in buying farm inputs or selling farm outputs. Often, the resulting cooperative was the organization farmers saw as the logical organization to represent their view of commodity policy or competition policy. As cooperatives grew and diversified, the ability to represent their members coherently across policy issues was hampered. For processing cooperatives in the supply‐managed sector, the requirement that the cooperative be the political arm of industry, process product, and provide maximum returns to producer members made for a complicated objective function. This paper focuses on the twin objectives of providing efficient member services and performing political lobbying in a public choice framework. The results are illustrated by the recent history of a supply‐managed further‐processing cooperative and a diversified grain cooperative.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.027 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".