Studies in Convergence? Post‐Crisis Effects on Corporate Rescue and the Influence of Social Policy: The EU and the USA
Bibliographic record
Abstract
Abstract The financial crisis and the sovereign debt crisis that it precipitated in a number of peripheral EU Member States heralded massive changes in insolvency, corporate rescue and employment protection policies. The US and the EU both suffered greatly in the wake of the crisis, but their recoveries have occurred along very different tracks. The US has managed to regain much of its position in terms of relative growth and the UK has outpaced the recoveries of those European countries that are members of the European Monetary Union. The purpose of this treatise is to explore the context of the 2007–2008 financial crisis in the US and in the EU and its impact on legal reform in corporate rescue and restructuring as well as those aspects of social policy implicated within insolvency systems (notably collective redundancy and transfers of undertakings). It will also consider whether or not the corporate rescue and employee protection systems can be seen to be converging, and whether, in view of the different socio‐economic, political and cultural aspects of the US and the EU, such convergence might be beneficial. Copyright © 2015 INSOL International and 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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".