Responsible Agriculture: An Analysis of Discourse and Decision Making on Risk Assessment and Management of Genetically Modified Staple Crop Import and Cultivation in the European Union
Bibliographic record
Abstract
The European Union (EU) imports Genetically Modified (GM) Staple Crops (SC) for animal feed and to be used in food chain production. GM SC are imported mostly from the United States, Canada, Brazil and Argentina. However, this is generally not public knowledge. This is partly due to EU policy on the cultivation of GM being highly regulated. Hence the belief of some that the EU is a GM-free zone. On a global perspective, the EU is one of the most conservative users of GM. One could talk of a European culture of anti-GM. For some, this culture has been intervening with science and has been prospering misinformation and mystification of GM. This has been argued to put Food Security, Safety and Sustainability at risk. Hence, the current model of Agricultural Policy in the EU is not Responsible. It is therefore important to deconstruct the culture that has formed around GM in the EU to be able to understand the discourse narrative and to analyse the decision to not cultivate but import GM SC.
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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 | 0.043 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.017 | 0.034 |
| Scholarly communication | 0.024 | 0.017 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.012 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".