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Record W2039221946 · doi:10.1093/jwelb/jwn025

The Glamis regulatory takings claim and compensation under NAFTA

2009· article· en· W2039221946 on OpenAlexaffabout
Allan Ingelson, Lincoln A. Mitchell

Bibliographic record

VenueThe Journal of World Energy Law & Business · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLawPolitical scienceCompensation (psychology)Intellectual propertyLaw and economicsSociology

Abstract

fetched live from OpenAlex

On 10 December 2003, a Canadian mineral developer submitted a 50 million dollar takings claim under ch 11 of North American Free Trade Agreement (NAFTA).1 In its Notice of Intent, the company has alleged that the actions of the US Federal Government and California State Government have ‘destroyed’ the value of its mineral investment in California and compensation should be provided pursuant to ch 11.2 This is the first mineral takings dispute in which a NAFTA Tribunal will consider whether compensation is paid to a mineral developer by the US Government and if so, how much. NAFTA affords foreign investors with broad substantive rights to pursue a regulatory takings claim against a national government before an international Tribunal. The basis for compensation under US domestic law and international law will be examined as well as the quantum of compensation. Takings in the petroleum industry continue to arise for a variety of reasons including changes in the political environment,3 environmental protection,4 and conflicts between the holders of the mineral rights of different types of fossil fuels in close geological proximity.5 The significant increase in the price of oil in recent years and the royalty revenues for oil producing governments may prompt an increased number of takings claims in the future. Due to the significant level of investment in petroleum and mining projects, securing compensation when there is a regulatory taking through negotiation, arbitration or litigation is an important issue for mineral developers.

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)0.009
metaresearch head score (Gemma)0.019
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 score0.160
Threshold uncertainty score0.318

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0150.007
Scholarly communication0.0100.003
Open science0.0020.005
Research integrity0.0210.011
Insufficient payload (model declined to judge)0.0110.002

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 head0.016
GPT teacher head0.212
Teacher spread0.195 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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