GREENPEACE BACKGROUND INFORMATION Roundup Ready Soya: Incomplete data, missing evaluation and insufficient controls
Bibliographic record
Abstract
Monsanto’s genetically modified or genetically engineered (GE) Roundup Ready (RR) soya was first approved for planting in the USA 1994 and subsequently in Canada, Argentina and Mexico. It was granted market approval (for import and processing into non-viable soya bean fractions only) in the EU in 19961 and in Japan16. Consent was granted based on the RR soya containing a single copy of a specific novel gene insert. Subsequently, in May 2000, it came to light that additional fragments of the foreign DNA insert were present. Monsanto submitted a report2 d tailing these additional fragments and claiming that these fragments were unlikely to be functional and hence did not pose a problem. Relevant EU authorities have thus far avoided the question of the illegality of Monsanto selling a product that contains gene inserts that were never approved. Now, a new scientific report3 shows that this RR soya contains an additional segment of DNA adjacent to the primary insert that is unrecognisable. It could be scrambled plant DNA or DNA from unknown sources. The function of this
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 | 0.015 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.073 | 0.011 |
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".