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Record W3121940187 · doi:10.1093/jiplp/jpq002

Harnessing the development potential of geographical indications for traditional knowledge-based agricultural products

2010· article· en· W3121940187 on OpenAlexaff
Tesh W. Dagne

Bibliographic record

VenueJournal of Intellectual Property Law & Practice · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsDalhousie University
Fundersnot available
KeywordsIntellectual propertyTraditional knowledgeIndigenousAgricultureBusinessGeographical indicationGeographical distanceRegional sciencePolitical scienceEconomic growthGeographySociologyLawEconomics

Abstract

fetched live from OpenAlex

This article analyses the regulation of geographical indications in national and international legal frameworks, and assesses their effectiveness vis a vis the needs of indigenous people and local communities. The protection and implementation of geographical indications is examined in light of the cultural and socio-economic aspects of legal and policy debates surrounding the global intellectual property system. Simply understood, geographical indications are signs used in connection with goods to indicate their geographical origin. They emerged on the international scene at the centre of three highly debated subjects: intellectual property, international trade and agricultural policy. This article mainly examines the significance of geographical indications in the protection of traditional knowledge based agricultural products in the international intellectual property framework, and assesses their possible use in domestic legal frameworks. In light of contemporary understanding of the link between “development” and “culture,” it is argued that intellectual property instruments in the likes of geographical indications may properly be used to positively protect the knowledge of indigenous peoples and local communities in the agricultural sector. It is, however, observed that geographical indications may not be solutions to the vast social, cultural, environmental and economic problems that ensue from the lack of protection of traditional knowledge and, thus, it is suggested that geographical indications are best utilized as part, or independently of a defensive sui generis protection of traditional knowledge. This article provides in-depth analysis of the concerns that arise in implementing geographical indications as legal frameworks to protect traditional knowledge based agricultural products in developing countries. It is hoped that this paper will prompt further discussion, and will serve as a resource for practitioners, academics, policymakers, and others in analyzing, drafting and negotiating intellectual property issues in the realm of international trade, traditional knowledge, and agricultural policy in national and international contexts.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.012
Scholarly communication0.0060.006
Open science0.0020.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.111
GPT teacher head0.254
Teacher spread0.143 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations26
Published2010
Admission routes1
Has abstractyes

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