Harmonisation of European Insolvency Law and the Need to Tackle Two Common Problems: Common Pool and Anticommons
Bibliographic record
Abstract
Abstract Insolvency law has finally become a field of law for which harmonisation at a European level is considered both important and feasible. In deciding upon the content of such harmonised rules, there will need to be a common understanding about the goals of insolvency law and, therefore, a European debate on bankruptcy theory. Bankruptcy theory, and most notably the influential creditors' bargain theory, has long viewed insolvency law as a set of rules for overcoming common pool problems. Bankruptcy theory thus far has almost completely overlooked anticommons problems. Anticommons present themselves in a situation in which there are several owners or entitled parties, and each of the parties has it within its power to block the use by others. Should anticommons behaviour in insolvency procedures go unchecked, creditors as a whole will be harmed. Insolvency is a collective process, and this process may not be sabotaged by a single party. Four typical insolvency issues, each identified by INSOL Europe as a candidate for harmonisation at a European level, are discussed, analysing them in terms of common pool problems and anticommons: preferences, reorganisation/composition plans, claim validation and insolvency of a group of companies. Copyright © 2012 John Wiley & Sons, Ltd.
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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 | 0.054 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.015 | 0.016 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".