Classification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".
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
Legal adaptation is considered a crucial part and one of the most effective tools of the global energy transition. The energy transition process promotes the rise of the renewable energy industry and brings a tremendous challenge to the law. How could or should the law adapt to the challenge of this global trend? This article will start this study from the case of Chinese wind energy development.China is one of the fastest-growing countries in the world for renewable energy. Although the large-scale development of wind energy started in 2000, China's wind power installed capacity reached 300 million kilowatts by 2021, and power generation accounted for about 7% of the total electricity consumption . This year's installed capacity of coal power is approximately 1 billion kilowatts, but its power generation accounted for 71.27% of the whole country . Two energy sources with three times the difference in installed capacity have ten times the difference in power generation. Why is China's electricity market so biased towards traditional energy? How did the large-scale wind curtailment in China occur? And what role should the law play in China's energy transition game to adapt and regulate the development of the electricity market and guide China's energy transition?This paper will use game theory to analyze China's power pricing system and the operation of China's national electricity transmission grid, so as to explore how the law has and should adapt to China's renewable energy development under its unique power market system and power administrative management system, to minimize the rent-seeking behavior generated in power transmission and support the development of wind energy. This paper will propose solutions to the problem of wind curtailment in China's energy transition from a legal adaptation perspective and provide a reference for other countries.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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