Agricultural Biotechnology and Food Security: Can CETA, TPP, and TTIP Become Venues to Facilitate Trade in GM Products?
Bibliographic record
Abstract
Abstract Strong evidence has shown that increased agricultural productivity and opened international trade are required to maintain and enhance food security. The multilateral trading system has been unable to keep trade open for one subset of agricultural products – those that use biotechnology in production. This chapter assesses whether preferential trade agreements can represent potential alternative sources of trade rules for dealing with trade in the products of biotechnology. This chapter analyzes and compares three case studies of preferential trade agreements (Canada-EU Comprehensive Economic and Trade Agreement, EU-US Transatlantic Trade and Investment Partnership, and Trans-Pacific Partnership), by focusing on negotiations pertaining to products of biotechnology. The three preferential trade agreements have shown little inventiveness in their attempts to put in place rules of trade for the products of modern agricultural biotechnology and have established forums where only issues can be discussed. They are forums to talk and talk without any means to force closure on negotiations. Given the inability to deal with the issue of biotechnology at the WTO or other multilateral forums, the recent and current negotiations of major preferential agreements represent the second best alternative which still needs to be analyzed and still needs to be understood by policy makers, academics, and the population at large. This chapter represents a first step in that direction.
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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 | 0.000 |
| Science and technology studies | 0.000 | 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".