Discussion on Unfair Nature and Duble Injurous Effect of Special Protection Measure
Bibliographic record
Abstract
On Aug. 13, 2002,India began the investigation into special protection measure, pointing to China export of industrious sewing machine needles. Later on, EU, USA and other developed countries implemented special protection measures on China textile products export with the aim of limitation. Recently, this trend goes even fiercely. Japan, USA, EU, Canada, Korea South and India enacted or revised their connecting internal regulations for the same aim. Moreover, Poland, Brazil, Columbia, Argentina, South Africa and some other developing countries made the decision too. Such actions, showing the emerge of a collection nature, put China into a very difficult condition. After the accession of WTO, China has been facing the special protection measure clause as on trade attacker. Since, its background, unfair nature and the duble injurious effect to China and the implementing countries are the subjects to be studied.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".