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Record W2085426454 · doi:10.7202/1027794ar

The International Legal Regime for Biotechnology Patenting: an Appraisal from the Standpoint of Developing Countries

2014· article· en· W2085426454 on OpenAlexaffvenue
Jean-Faustin Badimboli Atibasay

Bibliographic record

VenueRevue générale de droit · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntellectual propertyDeveloping countryContext (archaeology)International tradeBusinessWorld tradeLaw and economicsPolitical scienceEconomicsEconomic growthLaw

Abstract

fetched live from OpenAlex

The development of biotechnology, which promises many economic opportunities, has revived the debate over the ownership of biological resources and its derivatives, as well as the sharing of the benefits which derive from its multiple applications. At the core of the debate, is the recent marriage between intellectual property rights (IPR) and international trade, within the framework of the World Trade Organization (WTO). In this context, the need of developed countries to prevent trade distortions due to the lack of adequate IPR protection in developing countries, is weighed against the need to promote local interests in these countries. However, the legal impact of recent multilateral agreements, which address biological innovations, is still subject to controversy. An assessment of these instruments reveals divergent approaches to the issues which divide the parties concerned. This results in ambiguities and conflicts with respect to relevant provisions of these agreements. From a wide range of possible solutions discussed, industrial and developing countries might consider to review the disputed provisions in a way that attempts to harmonise the agreements and render legal implications of their respective initiatives in this area more predictable.

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)0.001
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 score0.911
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.236
Teacher spread0.185 · 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

Citations4
Published2014
Admission routes2
Has abstractyes

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