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Record W3124276848

Emerging Scholars Series: A Sui Generis Regime for Traditional Knowledge: The Cultural Divide in Intellectual Property Law

2011· article· en· W3124276848 on OpenAlexaff
J. Janewa OseiTutu

Bibliographic record

VenueMarquette intellectual property law review · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIntellectual propertyTraditional knowledgeLaw and economicsFair useEquity (law)Tangible propertyPolitical scienceInstrumentalismSociologyLawIndigenousIntangible propertyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

Traditional knowledge can be protected, to some extent, under various intellectual property laws. However, for the most part, there is no effective international legal protection for this subject matter. This has led to proposals for a sui generis regime to protect traditional knowledge. The precise contours of the right are yet to be determined, but a sui generis right could include perpetual protection. It could also result in protection for historical communal works and for knowledge that may be useful but that is not inventive according to the standards of intellectual property law. Developing countries have been more supportive of an international traditional knowledge right than developed countries. At the same time, developing countries have been critical of the impact of intellectual property rights on social issues such as access to medicines and access to educational materials. In light of developing country concerns about the negative effects of strong global intellectual property rights, this paper uses a development-focused, instrumentalist approach to assess the implications of a sui generis traditional knowledge right. It concludes that some of the measures sought may not achieve the desired outcome. Although intellectual property can play a role in protecting traditional knowledge, a sui generis intellectual property style right may hinder the equity-oriented goals of some traditional knowledge communities.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.003

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 head0.284
GPT teacher head0.268
Teacher spread0.016 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations19
Published2011
Admission routes1
Has abstractyes

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