The importance of marketing boards in Canada: a twenty‐first century perspective
Bibliographic record
Abstract
Purpose Marketing boards are an integral part of the farm economy in Canada. Their purposes have been debated for decades but seldom from a marketing perspective. Such an approach makes for an interesting way to study them. The purpose of this paper is to assess the pros and cons of marketing boards, suggesting how they can be made more responsive to market forces. Design/methodology/approach The paper positions the need for Canada to bring agricultural market reforms. The wave toward freer access to world markets makes the study of supply management that more interesting and relevant in the twenty‐first century. A brief history of marketing boards is presented, followed by a discussion of their economic, social and constitutional impacts on Canadian society. Dairy supply management issues are discussed because they serve as the basis for comparative analysis, given that dairy trade liberation has been the most successful. The impact of marketing boards on consumers is well documented. Findings The research points out that marketing boards lack managerial savvy to make them more efficient and responsive to market changes. Logistical and supply chain management approaches seem to be lacking. A failure to respond to markets has resulted in lost market opportunities, both domestically and abroad. The quota values, the legal and constitutional powers of Canadian marketing boards and the interprovincial trade barriers, among other issues, have stifled entrepreneurship and innovation, all with rising prices to consumers. Trade liberation will not be easy to implement even if it is urgently needed. Practical implications Some of the suggested market reforms presented in the paper are bound to have repercussions not only on farmers and their current ways of doing business but on Canadian society as well. Originality/value Few studies on marketing boards have been done from a marketing perspective rather than an agricultural economic one. It is the most current review of Canadian marketing boards. Marketing studies are needed to know more about how such boards are managed and function. They need to be more accountable. The recommended managerial studies on boards make the paper unique. While trade liberation is highly recommended for milk and dairy boards to meet world pressure, the paper does not call for their elimination.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.023 | 0.020 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".