Intellectual Property Rights in Plant Genetic Resources: Farmers' Rights and Food Security of Indigenous and Local Communities
Bibliographic record
Abstract
This article examines the international legal framework in which traditional farmers and agricultural biotechnology (agro-biotech) protect their knowledge and plant genetic resources. Traditional farms and agro-biotech both play significant roles in enhancing global food security and biodiversity. Legal measures to protect the knowledge of agro-biotech and traditional farmers were deployed by nations with a head start in the agro-biotech industry. The resulting system of utility patents and the sui generis concept of plant breeders' rights often subordinates the claims of farmers under those of agro-biotech. The author argues the current regime under the International Treaty on Plant Genetic Resources for Food and Agriculture (ITPGRFA) is inadequate to moderate the inequities created by intellectual property in plant genetic resources. Agro-biotech alone cannot ensure global food security and sustainable agriculture, nor can an intellectual property system that undermines local and traditional agriculture. Traditional farming knowledge is indispensable to ensuring that culturally acceptable food is accessible around the globe. A two-pronged approach to inequities in the current intellectual property system is possible. First, developing countries can use national legislation to comprehensively define farmers' rights beyond the ITPGRFA. Second, the governing body of the treaty can prioritize interpreting Article 12.3(d) of the Treaty with regard for the expectations of developing countries.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".