Power Relations in the Traditional Knowledge Debate: A Critical Analysis of Forums
Bibliographic record
Abstract
Abstract An ongoing debate on the protection of traditional knowledge was prompted by the United Nations General Assembly declaration of the International Decade of the World's Indigenous Peoples in 1995 and the declaration of the Second International Decade in 2004. These two declarations challenged governments and the international community to address, nationally and internationally, issues that affect indigenous communities. One such issue is the protection of traditional knowledge. The three key international multilateral forums that are debating traditional knowledge issues are the World Intellectual Property Organization, the World Trade Organization, and the Convention on Biological Diversity. Using a political economy framework, this study analyzes the policymaking processes and mandates of the three multilateral forums in order to highlight stakeholders' levels of involvement in these processes. The study found that the multilateral forums' power structures, mandates, and decision-making processes disadvantage indigenous peoples and hinder their full participation in the forums' processes. The study recommends establishing a forum that would take into account indigenous peoples' worldviews; otherwise policy outcomes from these discussions will probably disadvantage indigenous peoples.
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 | 0.060 | 0.103 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.007 |
| Science and technology studies | 0.022 | 0.042 |
| Scholarly communication | 0.019 | 0.029 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.005 | 0.005 |
| 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".