Bibliographic record
Abstract
Business sustainability refers to economic sustainability performance that promotes profitability and to non-financial sustainability that may or may not create profitability. This paper concentrates on the relation between business sustainability and insolvency proceedings by asking what role business sustainability plays when choosing between restructuring (rescue) and liquidation proceedings. This choice is based on two tests: a viability test and a best interest of creditors test, the latter meaning that no dissenting creditor should be worse off in restructuring than in liquidation proceedings. In addition, the paper asks what role business sustainability plays when making the choice between restructuring and liquidation and what the consequences of this choice are for business sustainability elements. In addition, the paper asks who the stakeholders for business sustainability are in insolvency situations. The finding of the study is that creditor interest should be better balanced with non-financial sustainability, but with the requirement that creditors know the risks beforehand and are able to protect their interests, for example, through securities. Regarding environmental hazards, the paper suggests a “super responsibility” of bankruptcy estates to handle environmental problems, according to the precedent of the Canadian Supreme Court.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".