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Record W1540035343

Intellectual Property Rights in Plant Genetic Resources: Farmers' Rights and Food Security of Indigenous and Local Communities

2006· article· en· W1540035343 on OpenAlexaff
Chidi Oguamanam

Bibliographic record

VenueSSRN Electronic Journal · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntellectual propertyTraditional knowledgeFood securityTreatyAgricultureBusinessGenetic resourcesConvention on Biological DiversityLegislationAgricultural biotechnologyTRIPS AgreementIndigenousTRIPS architectureInternational tradeEconomic growthPolitical scienceBiotechnologyLawEconomicsGeographyBiodiversityEngineeringBiology
DOInot available

Abstract

fetched live from OpenAlex

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.181
Teacher spread0.160 · 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.

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

Citations18
Published2006
Admission routes1
Has abstractyes

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