Governing Agricultural Biotechnologies in the United States, the United Kingdom, and Germany: A Trans-decadal Study of Regulatory Cultures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Comparative studies of agricultural biotechnology regulation have highlighted differences in the roles that science and politics play in decision-making. Drawing on documentary and interview evidence in the United States, the United Kingdom, and Germany, we consider how the “regulatory cultures” that guided national responses to earlier generations of agricultural biotechnology have developed, alongside the emergence of genome editing in food crops. We find that aspects of the “product-based” regulatory approach have largely been maintained in US biosafety frameworks and that the British and German approaches have at different stages combined “process-based” and “programmatic” elements that address the scientific and sociopolitical novelty of genome editing to varying degrees. We seek to explain these patterns of stability and change by exploring how changing opportunity structures in each jurisdiction have enabled or constrained public reasoning around emerging agricultural biotechnologies. By showing how opportunity structures and regulatory cultures interact over the long-term, we provide insights that help us to interpret current and evolving dynamics in the governance of genome editing and the longer-term development of agricultural biotechnology.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it