Opportunities, Challenges and Strategies: A Current Overview of Commentaries Towards the Singapore Convention Within China
Bibliographic record
Abstract
Even though the Singapore Convention is recognized as a landmark in the history of the international dispute resolution area, it is still in its infancy. Given China's economic influence and Hong Kong's position in the Asia-Pacific commercial dispute resolution market, China's ratification would greatly enhance the Singapore Convention's impact in international commercial dispute resolution market and hence promote the use of commercial mediation. However, it remains uncertain as to whether, when and how the Singapore Convention would enter into force in China, even though China's one of the first signatories. Current commentaries within China towards Singapore Convention do not only reflect the potential benefits for China to ratify the Singapore Convention, but also difficulties that China might face and strategies to overcome these difficulties, which might form the basis for future decision-makings related to commercial mediation in China.
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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 | 0.018 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.013 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".