<scp>Cross‐border</scp> insolvency law of China: An empirical analysis and proposal based on the insolvency cooperation mechanism between the Chinese mainland and Hong Kong
Bibliographic record
Abstract
Abstract In the context of the national strategy of the construction of the Guangdong‐Hong Kong‐Macao Greater Bay Area, the first institutional breakthrough in cross‐border insolvency cooperation between the Chinese Mainland and Hong Kong was achieved on 14 May 2021, and the first case of recognition and assistance in insolvency proceedings in Hong Kong, Re Samson Paper Co Ltd., emerged in judicial practice in December 2021. The judicial practice of Samson not only successfully verifies the great significance of the Record of Meeting and the Opinion for institutional ice‐breaking of cross‐border insolvency cooperation in the Chinese Mainland, but also reflects the practical effects and legislative issues of the above documents on the mechanism of insolvency cooperation between two areas. In view of the problems reflected by the practice of Re Samson Paper Co Ltd. and existing in the legislation, this paper puts forward specific proposals for the cross‐border insolvency cooperation between the Chinese Mainland and Hong Kong, including abolishing the precondition of reciprocity, strengthening exchanges, and cooperation between the two areas on parallel bankruptcy issues, and supplementing the coordination of parallel bankruptcy procedures for cross‐border insolvency. It also proposes domestic legislation on cross‐border insolvency recognition and assistance in China in a point‐by‐point manner, so as to achieve the establishment of a sound cross‐border insolvency cooperation mechanism in line with the international community.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".