Vertical Linkages in Agri-Food Supply Chains: Changing Roles for Producers, Commodity Groups, and Government Policy
Bibliographic record
Abstract
Market developments arising from closer vertical linkages in agri-food supply chains have given rise to a variety of issues. This paper outlines key issues and discusses possible responses by producers, their associations, and government. A vision of the future organization of agricultural production serves as a basis for discussion. The continued increase in contracting between producers and processors is accompanied by issues of contract transparency, terms, negotiation, and dispute settlement. Other ramifications include producer access to supply chains and the decline of spot markets. Furthermore, the development of agricultural biotechnology products may force a rethinking of the rationale for public investment in agricultural research and development. Evaluation of market power needs to account for efficiency gains from nonstandard forms of organization to achieve a balanced appraisal of the public interest. Agricultural economists are urged to evaluate new forms of firm and industry structure on the basis of how they work in practice rather than in comparison to an ideal form.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".