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
Looks at the complexity and dangers of genetic modification and the inadequate research that has been done prior to release and marketing of biotech products. Geneticist Dr. Ricarda Steinbrecher, Co-Director EcoNexus, UK; Anne Petermann, Co-director, Global Justice Ecology Project. Produced by Stacy Pettigrew for WINGS. Laurie Zoloth clip in tease from WINGS #21-08 by Kellia Ramares. peakers explain dangers of biotechnology applications in agrofuel cropping; the reasons for and risks of terminator seeds; and "poor washing" - false justification of biotech by pointing to the hungry. Anne Petermann, Co-director, Global Justice Ecology Project; Lucy Sharratt, with Sierra Club of Canada's Safe Food Sustainable Agriculture Campaign Ottawa-based Ban the Terminator Campaign, and corporate watchdog Polaris Institute; Ricarda Steinbrecher, Co-Director of EcoNexus, UK; and Anuradha Mittal, founder of The Oakland Institute, and former co-director of Food First (USA). Produced for WINGS by Stacy Pettigrew. Series producer, Frieda Werden.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.279 | 0.007 |
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