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Record W299010804

Genetic Use Restriction (or Terminator) Technologies (GURTs) in Agricultural Biotechnology: The Limits of Technological Alternatives to Intellectual Property

2005· article· en· W299010804 on OpenAlexaff
Chidi Oguamanam

Bibliographic record

VenueeYLS (Yale Law School) · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntellectual propertyAgricultural biotechnologyAppropriationBiotechnologyPatentabilityLegislatureEmerging technologiesBusinessAgricultureLaw and economicsPolitical scienceLawEconomicsBiologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

This article examines the adequacy of terminator technology as a potential substitute for traditional intellectual property. It acknowledges that the technology provides a stronger protection and reward mechanism than that offered by the traditional intellectual property rights regime. However, terminator technology or any other technology for that matter, is outside the pantheon of intellectual property regimes. Fundamentally, terminator is a technological answer to the quest by private sector interests to improve appropriability of returns on investments in agrobiotech. It potentially represents a panacea to the long standing industry struggle over the profitability of private research in agrobiotech and the need to improve appropriability of returns on investments in self-pollinating plant varieties. Terminator technology constitutes a molecular or cellular proprietary control mechanism for plant genetic resources (PGR).\nConsequently, terminator technologies are attractive assets to private sector investors in agricultural research. However, the nature of terminator technology as ‘‘a technological response to an institutional problem’’ under- mines a major policy plank of intellectual property rights, namely, the preservation of knowledge in the public domain through time limit on protection and the requirement of compulsory disclosure. As a prospective molecular substitute for or imitation of intellectual property, terminator technology not only provides no known agronomic benefit to farmers, but also has the potential to freeze up opportunities for knowledge transmission, accretion, development and diffusion of technology in transgenic crops. This article argues that any potential technological substitute for intellectual property that sac- rifices the latter’s underlying public policy objective of the promotion and dissemination of knowledge in the public domain may be overkill in the hands of industry. To the extent that terminator technology does not account for the public domain consideration which is a material aspect of intellectual property, it may not be an acceptable substitute. Even though they may fix perceived institutional problems, by their nature, technologies alone do not address the public policy nuances imbedded in conventional intellectual property jurisprudence.\nIn exploring the foregoing issues, this article is divided into three major parts. Part I evaluates the private sector’s quest for profitable appropriability of returns on investments in agricultural biotechnology, with emphasis on plant/seed breeding. It also explores the progressive response of intellectual property to accommodate that desire. Part II focuses on the nature and concept of GURTs as a self-enforcing technological imitation of intellectual property and ongoing public policy scrutiny of the technologies. It evaluates the terminator initiative as akin to industries’ vote of no confidence on extant attempts by conventional and sui generis intellectual property regimes to accommodate their quest for a tighter appropriatary and control regime. Part III broaches the public policy underlying the philosophy of intellectual property and evaluates the shortcoming of terminator technology as a technological imitation intellectual property. The paper concludes by pointing to the need for direct inclusion of intellectual property considerations in the ongoing discussions on the way forward for GURTs. This paper, then, is meant to assist in creating a balance between the extant focus of those initiatives on environmental, biosafety, health and socio-economic issues and a consideration of the intellectual property ramifications of GURTs.

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)0.013
metaresearch head score (Gemma)0.012
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 score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.032
Scholarly communication0.0100.018
Open science0.0020.005
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.251
Teacher spread0.229 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

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