An Empirical Study of Alxa League Energy Consumption and Environmental Pollution in China
Bibliographic record
Abstract
Because of the continual increase of the energy consumption and the long-standing patterns of extensive consumption about energy in Alxa, it is significance to the problem of environmental pollution. Alxa is main neighborhoods for Mongolian in northwest China, where the ecological environment is quite fragile and environmental pollution has had a negative impact on local desert ecological environment and economic continual development. Since 1980, the fragile environment increasingly become one of the major obstacles to continued economic development of Alxa; In particular, the severity of environmental problems that become the focus of Alxaess and Chinese has affected the industrial development Alxa in 2014. Firstly, the paper reads energy consumption leads to environmental pollution. Secondly, it depicts the causes of the problem from the Amounts of energy consumption and industrial structure. Finally, the suggestion, including Optimized energy consumption structure, modify the industrial structure, Introduced Market Mechanism and so on, is made to solve the environmental problems in Alxa League.
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 | 0.000 | 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 | 0.000 |
| 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 itClassification
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".