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Record W2908771208

Repeat Bankruptcies and the Integrity of the Canadian Bankruptcy Process

2014· article· en· W2908771208 on OpenAlexaboutno aff
Thomas G. W. Telfer

Bibliographic record

VenueScholarship@Western (Western University) · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsBankruptcyBusinessProcess (computing)AccountingFinanceComputer science
DOInot available

Abstract

fetched live from OpenAlex

One of the often-cited purposes of bankruptcy law is to permit the rehabilitationof the debtor as a citizen unfetteredby past debts. The bankruptcy regime thus allows an honest but unfortunate debtor toobtain a fresh start through the discharge. However, Canadian bankruptcy law has long taken the position that a repeat bankruptcy will preclude an order of an absolute discharge. The different treatment of repeat bankrupts suggests that there are other policy objectives at play beyond rehabilitation. While the court must consider the interests of the debtor and creditors in a contested discharge hearing an equally important consideration is the protection of the integrity of the bankruptcy system. Where there are repeatbankruptciesthe court'sfocusshiftsfrom rehabilitationof the debtor to the integrity of the bankruptcy regime, the protection of creditorsand the public.\nThese traditional considerations have been altered by recent amendments to the Bankruptcy and Insolvency Act. These amend- ments permit a second-time bankrupt to obtain an automaticdischarge after 24 months (if no surplus income and no objection) or after 36 months (if surplus income and no objection). This articleconsiders how the Canadianbankruptcy regime deals with second-,third-,fourth- andfifth-time bankruptcies. The article also examines whether mandatory counselling has had any impact on reducing repeat bankruptcies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.260
Teacher spread0.199 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2014
Admission routes1
Has abstractyes

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