Bibliographic record
Abstract
The Purpose of this study is to research the problems of trade restriction for an environment protection. Environmental regulation relate to trade are Convention on International Trade in Endangered Species of Wild Fauna & Flora, Montreal Protocol on Substances that Deplete the Ozone Layer, Kyoto Protocol to the UN Framework Convention on Climate Change, Basel Convention on the Control of Transboundary Movements of Hazardous Wastes & Their Disposal, Cartagena Protocol on Biosafty and WTO Agreement. Regulatory action for environmental protection has economics instrument, command & control, liablity, damage compensation, voluntary agreement. In the case of our country, impact of regulatory action for environmental protection is low. Because is recognized position of developing country yet. For in the balance rules of trade and enviroment, First must satisfy WTO’s basic principles and principle of quantitative restrictions prohibition, Second, operation of protection action must reasonable and objective standards Third, must satisfy GATT article 20 (b) clause and (g) protestation each essential factor To grow for environment advanced country, we should do ⅰ) using of FTA ⅱ) international cooperation strengthening for developing country position ⅲ) construction of environment information network
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".