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Record W2796494242

Reconceptualizing ISDS: When Is IP an Investment and How Much Can States Regulate It

2018· article· en· W2796494242 on OpenAlexaboutno aff
Rochelle Cooper Dreyfuss, Susy Frankel

Bibliographic record

VenueVanderbilt Journal of Entertainment & Technology Law · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual propertyDamagesLaw and economicsDoctrineBusinessDispute resolutionState (computer science)Investment (military)Political scienceLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Recent victories by states in two investor-state dispute settlements (ISDS), one involving Uruguay’s regulation of tobacco trademarks and the other challenging a doctrine of Canadian patent law, have suggested to some that ISDS is not a threat to state regulation involving intellectual property rights. In this paper, we dispute that notion. We show how these awards open pathways for future disputes and we argue that neither the resolution of these cases nor changes in more recent investment agreements meaningfully alter the threat of ISDS and the chill it imposes on legitimate regulatory activity. We suggest that there would be fewer disputes and less interference with regulatory authority if tribunals took into account the intangibility of intellectual property rights when determining their locus and deciding whether an investment has been made in the host state. Additionally, tribunals should consider the contingent nature of intellectual property rights when calculating the appropriate remedy (if, in short, compensatory relief were substituted for expectation damages). We also argue that if the class of investors entitled to bring ISDS challenges included those who invest in reliance on the limits of protection, right holders would be exposed to the consequences of the principles they advocate and may become less inclined to challenge state action.

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 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 score0.558
Threshold uncertainty score0.842

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.022
GPT teacher head0.245
Teacher spread0.222 · 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

Citations21
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueVanderbilt Journal of Entertainment & Technology LawSame topicInternational Arbitration and Investment LawFrench-language works237,207