Lost in the Supermarket: The Corporate‐Organic Foodscape and the Struggle for Food Democracy
Bibliographic record
Abstract
Abstract: The corporatization of organics has been critiqued for the concentration of ownership, as well as the ecological consequences of the long distances commodities travel between field and table. These critiques suggest a competing vision of food democracy which strives to organize the production and consumption of food at a proximate geographic scale while increasing opportunities for democratically managed cooperation between producers and consumers. This paper examines how the corporate‐organic foodscape has interacted and evolved alongside competing counter movements of food democracy. Using discourse and content analysis, we examine how corporate organics incorporate messages of locally scaled food production, humble origins, and a commitment to family farms and employees, and explore some of the complexity of the corporate‐organic foodscape. This paper contributes to the understanding of commodity fetishism in the corporate‐organic foodscape, and speaks more generally to the need for sophisticated understandings of the complex relationship between social movement innovation and market adaptation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.034 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".