Socio-economic Considerations and International Trade Agreements
Bibliographic record
Abstract
The provision for the inclusion of socio-economic considerations in domestic regulatory frameworks pertaining to living modified organisms has been established by Article 26 of the Cartagena Protocol on Biosafety to the Convention on Biological Diversity. Many countries are considering, or have considered, inclusion of socio-economic aspects in their domestic legislation, raising international concern that socio-economic risk assessments will become a mandatory part of approval processes and further complicate the approval, and international trade, of new genetically modified crops. Barriers to international trade, unfortunately, enjoy a long and robust history. The objective of this article is to review the various international agreements that have a governance capacity pertaining to international trade and assess how these agreements might interpret the domestic implementation of socio-economic risk assessments. The result of this will be a clearer understanding of what cost and benefit tradeoffs will be required by countries that have included, or are planning to include, socio-economic considerations as part of their domestic regulatory framework.
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 | 0.017 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".