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Record W3124007951

Corporate Power Unbound: Investor-State Arbitration of IP Monopolies on Medicines - Eli Lilly v. Canada and the Trans-Pacific Partnership Agreement

2015· article· en· W3124007951 on OpenAlexaboutno aff
Brook K. Baker, Katrina Geddes

Bibliographic record

VenueJournal of Intellectual Property Law · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementIntellectual propertyMonopolyArbitrationDamagesGeneral partnershipBusinessInvestment (military)LawInternational tradeLaw and economicsEconomicsPolitical scienceMarket economyPolitics
DOInot available

Abstract

fetched live from OpenAlex

Despite the deep irony of free trade agreements being subverted to codify and extend anti-competitive monopoly rights and despite the equally deep irony of foreign investors having greater enforcement rights than local investors, the joining of enhanced intellectual property rights (IPRs) and protections and strengthened investor rights is creating a wild-west opportunity for unbounded corporate power. Two current contestations show the dangers of this expanded power in sharp relief. In the Trans-Pacific Partnership Agreement (TPPA), at the behest of its powerful pharmaceutical lobby, the United States is seeking the most extreme forms of pharmaceutical patent, data, and enforcement rights that have ever been proposed at the same time that it is seeking enhanced IP-related investor rights in the most recently leaked Investment Chapter. In the pending investor-state-dispute-settlement case under an older but parallel North America Free Trade Agreement (NAFTA) investment clause, an American pharmaceutical company, in Eli Lilly v. Canada, is for the first time claiming $500 million in investment-related damages because of Canada’s sovereign decision to invalidate previously granted patents on two medicines on the grounds that those patents failed to meet well-established Canadian standards of patentability. This article is not written as an abstract juxtaposition of these two current events. It is written to expose the dangers that countries face, especially low- and middle-income countries, in trade negotiations with the U.S., Europe, and Japan that seek to impose stronger patent, data, and market entry protections and at the same time seek to expand the armamentarium of enforcement powers available to pharmaceutical behemoths. Part II of the paper contains a brief introduction to the international IP regime, namely the WTO Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) and the TRIPS-plus pharmaceutical protections being sought in the mostly recently leaked TPPA Intellectual Property Chapter and Transparency Chapter still being negotiated between twelve Pacific rim countries. Part III gives a brief historical background on investment treaties and investor-state-dispute-settlement (ISDS). Part IV analyses the TPP Investment Chapter in more depth, particularly its provisions that deal with protection for and enforcement of IP-related investments. Part IV discusses the pending Eli Lilly v. Canada ISDS arbitration, including the claims and defenses of the parties. Part V concludes with a recommendation that investment chapters be struck from the TPP and other trade agreements or that such chapters should not apply whatsoever to the protection or enforcement of IPRs given the many other enforcement powers available to patent holders. The article claims that extending boundless corporate power to Big Pharma through adoption of ISDS for IPRs presents a grave danger to the communal right to health and the right of access to affordable medicines for all.

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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.185
Threshold uncertainty score0.373

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0140.014
Scholarly communication0.0150.005
Open science0.0020.005
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0060.001

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 head0.051
GPT teacher head0.222
Teacher spread0.171 · 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 designNot applicable
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

Citations8
Published2015
Admission routes1
Has abstractyes

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