Biotechnology activism is dead; long live biotechnology activism! The lure and legacy of market-based food movement strategies
Bibliographic record
Abstract
Scholarly debate over the transformative potential of neoliberal, market-based, food movement strategies historically contrasts those who value their potential to reform the food-system from the inside against those who argue that their use concedes the primacy of the market, creates citizen-consumers, and undermines overall movement goals. While narrow case studies have provided important amendments, the legacy of such strategies requires impacts to be evaluated both contextually and more broadly than the specific activism. This study thus conceptualizes the 'case' of U.S. biotechnology market activism expansively, drawing on interviews with 25 activists from diverse organizations to investigate the legacy of two food-labeling movement strategies (one public and mandatory, one private and voluntary). The results support that the legacy of market strategies extends more broadly than the immediate initiative. They also confirm that the consequences of such neoliberalized strategies are most productively assessed contextually and applied, rather than categorically-as most clearly illustrated by the counterintuitive results of the failed mandatory labeling effort. Of the two market strategies, voluntary labeling demonstrated the most problematic relationship to broader movement goals of food system transformation, in part because of the greater potential for overlapping credence claims and in part due to the risks of niche market logic.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".