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Record W3037156107 · doi:10.4337/9781788977821.00016

Keep calm and carry on: lessons from the jurisprudence on fair and equitable treatment and intellectual property rights

2020· book-chapter· en· W3037156107 on OpenAlexaboutno aff
Bryan Mercurio

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2020
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual propertyExpansivePolitical scienceLaw and economicsContext (archaeology)JurisprudenceScope (computer science)LiabilityStandard of reviewLawSettlement (finance)BusinessEconomicsJudicial reviewFinance

Abstract

fetched live from OpenAlex

The Fair and Equitable Treatment (FET) standard in international investment agreements (IIAs) has expanded in coverage and scope over the past two decades, thereby exposing governments to the potential for increased liability. This chapter critically examines the FET standard in IIAs as it interacts with intellectual property (IP) rights, focusing on the interpretation and application of the FET standard by the investor-State dispute settlement (ISDS) tribunals in the disputes of Eli Lilly v Canada and Philip Morris v Uruguay. The chapter argues that tribunals are taking into account the context of IP and wider governmental/societal interests and narrowly construing potentially expansive provisions such as FET. It offers several takeaways from the disputes which could guide the development of policy and the assessment and evaluation of any future dispute.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.884
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0000.000
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 head0.043
GPT teacher head0.232
Teacher spread0.189 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2020
Admission routes1
Has abstractyes

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