MétaCan
Menu
Back to cohort
Record W2271150932

Statutory Debt Subordination: An Appraisal of the North American Experience

2007· article· en· W2271150932 on OpenAlexaboutno aff
Anil Hargovan, Jason Harris

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsSubordination (linguistics)Statutory lawMisrepresentationInsolvencyShareholderDebtLawEquity (law)Political scienceCommon lawBusinessLaw and economicsEconomicsFinance
DOInot available

Abstract

fetched live from OpenAlex

The High Court of Australia recently found that statutory subordination laws in Australia did not embody a principle of members come last. The decision in Sons of Gwalia raised questions about whether the current law represents a sound policy outcome, and specifically drew attention to competing models in the US and Canada. The government has now referred this question to the Corporations and Markets Advisory Committee to consider law reform. The purpose of this article is to examine the policy and legal position of the subordination of shareholder claims during insolvency in the United States and Canada and to examine what lessons may be learnt from that experience. A critical appraisal of the North American jurisprudence on the subordination of shareholder claims for damages arising out of misrepresentation inducing the acquisition or retention of shares may be of assistance in resolving the current difficulties experienced in Australian insolvency law. The authors argue that the US position of blanket subordination should not be adopted in Australia, and propose a different model of limited subordination that will encourage confidence in the equity markets without undermining creditor protections.

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)0.012
metaresearch head score (Gemma)0.011
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 score0.246
Threshold uncertainty score0.488

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0160.014
Scholarly communication0.0070.004
Open science0.0020.006
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicCorporate Insolvency and GovernanceFrench-language works237,207