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Record W830577942 · doi:10.14249/eia.2012.21.4.525

The Possibility of Investor-State Dispute under Korea US FTA in relation to Korean Environmental Impact Assessment: A Lesson from Bilcon v. Canada Case under NAFTA

2012· article· en· W830577942 on OpenAlex
Taehwa Lee

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Environmental Impact Assessment · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Policies and Emissions
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationInvestor-state dispute settlementGovernment (linguistics)State (computer science)Free trade agreementRelation (database)International tradePolitical scienceBusinessLawFree tradeForeign direct investment

Abstract

fetched live from OpenAlex

This study aims to investigate the possibility of Investor-State Dispute under Korea US FTA in relation to Korean environmental impact assessment scheme. The study analyzes the Investor-State Dispute case between Bilcon of Delaware and the government of Canada. The case study shows that Bilcon challenged Canada with violations of NAFTA 1102, 1103 and 1105, arguing that Canada treated Bilcon in an arbitrary and discriminatory manner. The study analyzes two different scenarios that Korea could face with arbitration for alleged breach of its obligations under the Korea US FTA in relation to EIA scheme. From analyzing the case study in relation to two different scenarios, the study finds that problems previously identified and associated with EIA scheme in Korea could directly or indirectly cause Investor-State Dispute Settlement process between Korea and American investors. The study concludes that the risk of violating Korea US FTA related with Korean EIA could be reduced by creating Korean EIA scheme in a transparent and unarbitrary manner which guarantees fair public participation and elaborating the concrete meaning of sustainable development in EIA law.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.305
Teacher spread0.291 · 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