Bread in the Economy of Qualities: The Creative Reconstitution of the Canada‐UK Commodity Chain for Wheat
Bibliographic record
Abstract
Abstract This article traces the creative reconstitution of the Canada‐UK wheat‐bread commodity chain since the 1990s. In the mid‐1990s, the Canadian Wheat Board (CWB) and a British bakery, Warburtons, pioneered an innovative identity‐preserved sourcing relationship that ties contracted prairie wheat growers to consumers of premium bread in the United Kingdom. The CWB‐Warburtons contract is emblematic of the increasing importance of quality claims, traceability, and private standards in the reorganization of agrifood supply chains. Yet the case is unique in two important ways. First, in the context of supermarket leadership in the coordination of quality chains, the program was established by two unlikely actors—a state marketing agency and a branded food manufacturer. Second, the quality chain centers on a semifresh, manufactured food staple (bread), whereas most quality chains are organized around fresh produce, meat, and dairy products. The CWB‐Warburtons story thus provides evidence of diversity and complexity in the shift toward the supermarket‐driven “economy of qualities.” I interpret these changes by locating them in broader processes of historical change. Led by the CWB and Warburtons, the shift toward quality in commodity chains for wheat bread is reconfiguring relations among key social actors in the prairie wheat economy as well as the UK bread market.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.034 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".