Consensus and Compulsion: The Extra-territorial Effect of Chinese Judicial and Specially-Invited Mediation in Common Law Countries
Bibliographic record
Abstract
This article conducts exhaustive research on case law in major common law jurisdictions (Australia, Canada, Hong Kong, New Zealand, Singapore, the UK, and the US) regarding the recognition and enforcement of Chinese judicial mediation decisions (MTS). In contrast to the rich literature criticizing the systematic deficiency of Chinese judicial mediation where an adjudicator plays the dual role of mediator and judge in the same case and the consequent injustice to the parties, the deficiency is not an issue currently in recognition and enforcement of MTS in common law jurisdictions. Why is this so and what would be the future trend? Answering these questions, this article explores the recent expansion from judicial mediation to Specially-Invited Mediation at the people's courts in China and discusses whether the features of Specially-Invited Mediation impact the recognition and enforcement of MTS at the common law jurisdictions. It also addresses controversies on applicable law, challenges to the enforceability of civil liability clauses, debates on the finality of MTS, and recognition and enforcement of MTS under China's judicial assistance agreements, the Hague Choice-of-Court Convention, the Hague Judgments Convention, and the Singapore Mediation Convention.
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 | 0.017 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".