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Record W2257296626

The Convention on Biological Diversity and Intellectual Property Rights: The Challenge of Indigenous Knowledge

2003· article· en· W2257296626 on OpenAlexaff
Chidi Oguamanam

Bibliographic record

VenueSSRN Electronic Journal · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntellectual propertyTraditional knowledgeConvention on Biological DiversityConventionTRIPS architectureTRIPS AgreementIndigenousLaw and economicsPolitical scienceDiversity (politics)LawSociologyBiodiversityComputer scienceBiologyEcology
DOInot available

Abstract

fetched live from OpenAlex

The Convention on Biological Diversity provides for the use of intellectual property rights in the furtherance of its cardinal objectives. Not being an intellectual property convention, it offers no practical or independent scheme on how to use intellectual property rights in the pursuit of its said goals. Instead, it relies on the international intellectual property system. The principal instrument of that system is the TRIPs Agreement, which prescribes formal intellectual property rights for global application. Exploring conventional patent and trade secret regimes of intellectual property rights, this paper argues that the Trips Agreement constitutes an obstacle to the realization of the conceptual objectives of the Convention on Biological Diversity with regard to the knowledge of indigenous and local communities. Thus, a global intellectual property order capable of enhancing the objectives of the Convention on Biological Diversity should not ignore Indigenous Protocols and jurisprudence on knowledge protection. This lingering review of the TRIPs Agreement's Article 27 provides the opportunity to move that instrument in the direction of a cross-cultural approach to intellectual property rights that has already been endorsed by the Convention on Biological Diversity and the World Intellectual Property Organization.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.085
GPT teacher head0.221
Teacher spread0.136 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2003
Admission routes1
Has abstractyes

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