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Record W6999443649

A common law comparison: an analysis of corporate insolvency practitioners' roles and regulation

2024· other· en· W6999443649 on OpenAlexaboutno aff

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInsolvencyCommon lawCommissionBankruptcyCorporate lawOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

This submission explores and compares common law countries based on English law. It undertakes an analysis with respect to the roles and regulation of corporate insolvency practitioners in common law countries with English law traditions in order to establish common experiences and key challenges facing corporate insolvency practitioners. The focus of the comparison is upon the United Kingdom, Australia, New Zealand and India with detailed discussion and comparison of corporate insolvency regulation within those nations, and some further consideration of South Africa, the United States of America and Canada. Commonalities and distinctions are drawn and an analysis establishes common themes and concerns in the practice and supervision of corporate insolvency practitioners across these common law jurisdictions. It is determined that England and Wales, Australia, New Zealand and India share a number of common concerns with respect to the regulation of corporate insolvency practitioners, namely: how to achieve ‘good regulation’ and how to achieve balance in the regulation of corporate insolvency practitioners’ qualification and licencing requirements, remuneration, and professional and ethical standards. Notwithstanding that each country has divergent approaches to regulating these issues, these are common problems which each must manage in the interests of facilitating an effective insolvency regime, and trust and confidence in that regime. Consideration is given to the different regulatory approaches taken in the relevant nations, and to various international benchmarks, including benchmarks and guidance from the International Association of Insolvency Regulators, the International Monetary Fund, the World Bank, the European Bank for Reconstruction and Development and the United Nations Commission on International Trade Law. Consideration is given to the different recommendations made, and to the different regulatory endeavours, to manage the challenges of corporate insolvency practice. A discussion is undertaken with respect to ‘good regulation’, ‘balance’ and the requisite standards of regulation for corporate insolvency practitioners. Each of the nations discussed recognise that there is a fundamental need for competent, ethical and accountable insolvency practitioners who hold the confidence of insolvency stakeholders. However, there is limited literature which considers regulatory theory in the context of corporate insolvency practitioners, or which considers what amounts to ‘good regulation’ of corporate insolvency practitioners, or which considers the impact of regulatory models and approaches upon the practice of corporate insolvency. This research seeks to contribute to this gap in literature in order to inform regulatory approaches. In doing so it proffers insights into the possible improvement of corporate insolvency practitioner regulation.

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)0.030
metaresearch head score (Gemma)0.072
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.072
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.010
Science and technology studies0.0160.020
Scholarly communication0.0130.011
Open science0.0020.009
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.018
GPT teacher head0.251
Teacher spread0.234 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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