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Record W2971833664 · doi:10.1002/iir.1345

Insolvency proceedings from a sustainability perspective

2019· article· en· W2971833664 on OpenAlexvenueno aff
Tuula Linna

Bibliographic record

VenueInternational Insolvency Review · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsInsolvencyRestructuringSustainabilityBusinessDebtorBankruptcyCreditorContext (archaeology)Sustainability organizationsFinanceAccountingDebt

Abstract

fetched live from OpenAlex

Abstract Sustainability is a wide concept including environmental, economic, social/culture, and political dimensions. Currently, sustainability research is a rich scientific discipline producing a significant number of research papers. However, sustainability in the context of insolvency proceedings has attracted little research compared with, for example, how much attention corporate social responsibility has received in company law research. This article studies sustainability in the context of liquidation and restructuring proceedings and the preservation of different kinds of resources (natural, manufactured, human, and social capital) in insolvency procedures. The purpose of insolvency proceedings may prevent the full implementation of sustainability. In bankruptcy, the administrator must maximise the selling price for creditor satisfaction, and there are few possibilities to promote sustainability. When facing an acute environmental hazard, in the name of public interest, a bankruptcy estate with assets usually has to act unless the law stipulates that society is responsible for taking care of the problem. In restructuring proceedings, the main purpose is to continue the debtor's business. It depends on the markets how sustainable the debtor company must be to achieve profitability. If becoming a profitable company in a “green” or otherwise sustainable market requires costly efforts, creditors' interests may require the sale of the assets. The author views through sustainability lenses EU Restructuring and insolvency Directive (2019) and finds there is not much of a sustainability approach included.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.007
Scholarly communication0.0090.006
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.012
GPT teacher head0.257
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2019
Admission routes1
Has abstractyes

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