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.
Bibliographic record
Abstract
Developing and disseminating renewable energy is critical to address climate change. Renewable energy policies, especially Feed-in Tariff(FIT), in several countries have been challenged under NAFTA Chapter 11 and other investment treaties. This situation requires a careful examination for obtaining insights about the relationship between renewable energy policy in Korea and investment provisions under FTAs which Korea has concluded. This paper uses Mesa Power v. Canada case as a case study in which a US energy company, Mesa Power, files an arbitration against Canada for the alleged breach of Canada’s obligations under NAFTA. From analyzing the case study, the paper finds the followings. First, the paper points out that in some FTA cases such as Korea US FTA, there is a possibility of Korea being challenged with an arbitration in relation to implementing certain renewable energy policy since the reservations list does not include MFN and FET provisions. Second, this paper indicates that an arbitration could occur not because of FIT or RPS schemes per se but because of indirect reasons in the process of implementing FIT or RPS. Finally, the paper emphasizes the necessity of strengthening environmental governance and guaranteeing transparency and non-discrimination in Korea’s policy implementation processes in order to minimize the possibility of being challenged with arbitrations under FTAs.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.124 | 0.098 |
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 it