To Curb the Global Trade Protectionism:An Evaluation of WTO Multilateral Trading System
Bibliographic record
Abstract
At present, the world is plunged into the most serious global economic recession since the Great Depression in 1930s. Moreover, the crisis has not yet bottomed out, is still spreading, the impact on the real economy continues to deepen. Under such circumstance, because of the lack of political will and popular support, in addition to lobbying and interest groups under pressure from voters, trade protectionism has been a compre-hensive global resurgence. The WTO multilateral trading system is experiencing severe tests of our times, it was forced to maintain the image of the banner of trade liberalization and play a much more valuable role in curbing the global trade protectionism. When will the world economy start climbing up? It cannot be expected to rely on technological revolution and the systematic innovation adopted to stimulate large-scale investment. As an important force of the world's economic adjustment and recovery, the global trade is duty-bound to shoulder the pri- mary mission of saving the world economy. The global multilateral trading system and the conclusion of the Doha Round negotiations as soon as possible, which is deemed to ensure that the global trade takes the lead in the world economic recovery, should naturally serve as common aspirations of the world's nations.
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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 | 0.044 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".