Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.057 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".