Worlds apart on GMOs?Can trade agreements bridge the gap?
Bibliographic record
Abstract
Divergent regulation of GE commodities on the world market leads to trade barriers and reduces trade flow. Rules regulating international trade of GE crops do not exist, even though there is a long history of actions taken by the World Trade Organization to establish paths forward to address trade barriers in the global marketplace for GE crops. Political realities in some countries, especially those with strong anti-GE agendas, are supplanting science as the primary basis for domestic policies and trade rules. Furthermore, the ever-increasing worldwide presence of GE crops in the global marketplace becomes more problematic in light of zero tolerance policies for adventitious presence of GE materials in shipments of non-GE crops. Harmonization of trade standards among different countries could resolve current policies that result in trade barriers; however, harmonization requires establishing mutually acceptable regulatory frameworks for trade in GE crops that exceed the scope of trade negotiations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.014 | 0.018 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.065 | 0.009 |
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".