Cross‐border insolvency in the Balkans region
Bibliographic record
Abstract
Abstract In a constantly evolving world, it is necessary to safeguard trade and investment relations through the establishment of clear rules for cooperation between national courts and practitioners from different jurisdictions on cross‐border insolvency cases. While general provisions in national law or in treaties governing cooperation on foreign civil proceedings are helpful, specific provisions in insolvency legislation that regulate the management of insolvency proceedings with a cross‐border element contribute to legal certainty and support the flow of international trade and foreign direct investment. These may even signal to potential investors the openness of a particular jurisdiction to foreign investment and trade. A set of rules or framework for international cooperation on cross‐border insolvency cases enables efficient judicial decision‐making and positively influences insolvency outcomes, from the preservation of assets of the insolvency estate to the fair allocation of such assets to affected creditors and the successful rescue of the insolvent business. The importance of this subject matter is exemplified by global efforts to achieve greater cross‐border insolvency cooperation and harmonisation on substantive insolvency law. Such efforts include the UNCITRAL Model Law on Cross‐border Insolvency and Legislative Guide on Insolvency Law, as well as regional initiatives such as the Recast European Union Insolvency Regulation and the Uniform Law on Insolvency Procedures by the Organization for the Harmonization of Business Law in Africa, which have harmonised cross‐border insolvency rules across member states. This article uses economic analysis, recent jurisprudence and legal theory to explore the importance and evolution of cross‐border insolvency frameworks in selected Balkan countries: Greece, Romania and Serbia.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".