The need for more inclusive deliberation on ethics and governance in agricultural and food biotechnology
Bibliographic record
Abstract
An inclusive and socially legitimate governance structure is absent to address concerns over new agricultural biotechnologies. Establishing an agricultural bioethics commission devoted to inclusive deliberation on ethics and governance in agricultural and food biotechnology is urgent. Highlighting the social and ethical dimensions of current agricultural bioengineering disputes in the food system, we discuss how a nationally recognized policy forum could improve decision-making and increase public understanding of the issues. We clarify ways the concepts that are used to categorize food and frame governance of food affect consumer choices, and how dissemination of information and the mode of dissemination can contribute to social inequities. We cite the record of medically-oriented bioethic commissions and the history of international bioethic commissions in support of our argument, and end by discussing what such a commission dedicated to agriculture and food issues could reasonably be expected to achieve.
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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 | 0.199 | 0.133 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.019 | 0.108 |
| Scholarly communication | 0.038 | 0.042 |
| Open science | 0.004 | 0.025 |
| Research integrity | 0.030 | 0.036 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".