International regime conflict in trade and environment: the Biosafety Protocol and the WTO
Bibliographic record
Abstract
Trade and environment constitute regimes in international relations: they are vehicles for cooperation between nation states that permit governments to address various subjects such as commercial non-discrimination, reduction of pollution, reciprocity and sustainable development. The issues of food safety and agricultural biotechnology (i.e., genetically modified organisms or GMOs) have been raised in both regimes, and have been managed in different and arguably inconsistent manners. In the trade regime, food safety and ag-biotech are mainly subject to the US-backed principle of ‘scientific risk assessment’ established in the WTO's Sanitary and Phytosanitary Agreement, while in the environment regime they would likely be addressed through the more politically based ‘precautionary principle’, promoted by the EU and represented in the Cartagena Protocol on Biosafety. Both the trade and environment regimes are rules-based, but conflict between them diminishes the force of precision and obligation needed to make rules effective. Furthermore, there is a danger that regime conflict could expand, thereby reducing the opportunity to promote an optimal relationship between science and society in the future.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.013 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".