Admissibility of Lis Pendens in International Commercial Arbitration: A Comparative Insight of Different Legal Systems
Bibliographic record
Abstract
An attempt has been made to investigate the role of the doctrine of Lis Pendens in international commercial arbitration while making a comparison of civil and common law traditions. Arbitration is regarded to be less painful and an effective means for resolving any type of commercial disputes. Sources of the law to investigate Arbitration's regulation on a national, institutional, and international level. However, it is known that the lis pendens doctrine has been rarely codified; thus, scholarly writings and case laws were consulted by the research for determining its adoption and content. It is important to note that the lis pendens is initially regarded as a tool, which has been developed to manage the proceedings of parallel court on a domestic level. The study concludes while arguing that when it comes to civil law tradition, lis pendens is regarded as an independent doctrine in international commercial arbitration since it shares the same claim of being tried in various forums simultaneously. In contrast, lis alibi pendens in the jurisdiction of common law is not known as a doctrine, but it is viewed as one of many factors whole applying the forum non-convenience principle. Both civil and common law need identity between various parties and their claims to constitute lis pendens in two proceedings, and therefore, they have a conform and deep understanding of the concept.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".