Genetically modified crops, agricultural sustainability and national opt-outs: Enclosure as the loophole?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
EU Member States face a quandary: after decades of demanding powers to choose whether or not to cultivate GM crops, the EU has returned some limited but significant powers to them. A directive permits Member States to “opt-out” from GM cultivation, provided that they meet relevant criteria. Member States need to decide urgently and carefully whether and how to restrict GM crops, as the permeable nature of the environment facilitates the spread of genetically modified organisms (GMOs) once cultivated. One consideration is agri-sustainability. In principle, GM crops could promote agri-sustainability, including through increasing agrobiodiversity, as they facilitate introducing new traits or species into an ecosystem. However, the nature of their modifications allows for the applicability of patenting law, which enables the legal “enclosure” of the crops’ genetic make-up. This impacts negatively upon the long-term availability of plant genetic resources and agrobiodiversity, as farmers and other breeders operate in a context where accidental cultivation of patented material can still attract liability. This article argues that legal enclosure could justify imposing restrictions on GM cultivation in order to conserve agrobiodiversity as an exhaustible natural resource essential to agri-sustainability. To improve the likelihood of restrictions being upheld legally at both the EU and WTO level, such justifications must be distinguished clearly from any broader environmental concerns, as both the EU and WTO impose stringent restrictions where environmental objectives are raised.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it