2024 WINGS ##25, 26-24 Life As Property Part 1 and 2
Bibliographic record
Abstract
Dr. Vandana Shiva is the founder of the Research Foundation for Science, Technology and Ecology, and of Navdanya, a national movement in India to protect the diversity and integrity of living resources, especially native seeds. She earned advanced degrees in philosophy of science and nuclear physics in Canada and also studied science policy and management in India. She is renowned worldwide for not only her inspiring analyses and her activism for seed preservation, but also her successful litigation against patenting and privatization of seeds. Part 1 “Life as Property” With elegant oratory, Dr. Shiva dissects the methods, the motives, and the ecological and economic results of the corporate assault on the mutual relationship between human beings and plants within the web of life. Dr. Vandana Shiva is the founder of the Research Foundation for Science, Technology and Ecology, and of Navdanya, a national movement in India to protect the diversity and integrity of living resources, especially native seeds. She earned advanced degrees in philosophy of science and nuclear physics in Canada and also studied science policy and management in India. She is renowned worldwide for not only her inspiring analyses and her activism for seed preservation, but also her successful litigation against patenting and privatization of seeds. Part 2: In last week’s episode, Dr. Shiva deconstructed the rhetoric of genetically modified agriculture. This week, she discusses the vast treasures of resilience from traditional seed cultivation and solutions to environmental problems, especially solutions based in human rights allied to rights of nature. Credits: Both episodes are from a speech Shiva delivered in 2014, which was sponsored and recorded by community radio KPFA-FM in Berkeley, California. Editor for WINGS was Kellia Ramares-Watson. WINGS series editor is Frieda Werden. The original WINGS programs were archived by Lisa Hayes.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.014 |
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; both teacher heads agree on what is shown here.
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".