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Record W293453096

Canadian Preference Law Reform

2007· article· en· W293453096 on OpenAlexaboutno aff
Anthony Duggan, Thomas G. W. Telfer

Bibliographic record

VenueTexas international law journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsLawStatuteLegislationStatutory lawPreferenceDiscretionPolitical scienceLaw reformInsolvencyNothingCommon lawEconomics
DOInot available

Abstract

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I. INTRODUCTION The preference provisions in the Canadian Bankruptcy and Insolvency Act1 (BIA) have been virtually unchanged since the legislation was enacted in 1919,2 and many of their features derive from the nineteenth century and earlier English law. There have been various reform proposals over the years, but until now they have come nothing. Most recently, in 2003 a Senate Committee recommended amendments to ensure consistent and simplified rules for challenging fraudulent preferences, but without explaining what was wrong with the current laws and how they should be changed.3 Recently enacted amendments aim put the Senate Committee's recommendation into effect, but is still no clear sense of the underlying objective.4 In any event, are drafting problems, which will be explained later, and these will have be fixed if the amendments are have any impact at all. The drafting problems were at least in part a function of the failure address policy objectives. This paper argues that: (1) the current Canadian preference provisions are deficient because: (a) they lack a clear policy foundation, (b) judicial glosses on the statutory text mean that the statute itself is an incomplete statement of the law; and (c) the amount of discretion the provisions give the courts results in inconsistent and unpredictable case outcomes; (2) these problems should be fixed, but meaningful reform is impossible unless we first decide what we want the preference laws achieve;5 and (3) Canada's lawmakers should address the policy choices before proceeding further with the current reform initiative. Part II surveys the evolution of preference law in common law countries and the competing policy objectives. Part III provides an overview of the current Canadian provisions and critically analyzes them with reference the policy objectives identified in Part II. Part IV describes the most recent reform initiative and critically analyzes it with reference the policy objectives identified in Part II. Part V concludes. II. THE EVOLUTION OF PREFERENCE LAW AND POLICY A. The Debtor Deterrence Rationale Broadly speaking, a preference is a payment of money or a transfer of property made by a debtor a creditor on the eve of the debtor's bankruptcy, representing more than the amount the creditor would recover in the debtor's bankruptcy distribution. Early preference law developed through case authority. In The case of Bankrupts (Smith v. Mills), Lord Coke stated the rationale for the avoidance of preferences in terms of the need preserve the principle of equal distribution underlying the bankruptcy laws: there ought be an equal distribution ..... .[for] if, after the debtor becomes a bankrupt, he may prefer [a creditor] and defeat and defraud many other poor men of their true debts, it would be unequal and unconscionable, and a great defect in the law.6 Lord Mansfield expressed a similar view in Alderson v. Temple? According Dickson J. in Hudson v. Benallack, this is still the policy of Canadian preference law: The object of the bankruptcy law is ensure the division of the property of the debtor rateably among all his creditors in the event of his bankruptcy .... . . .The Act is intended put all creditors upon an equal footing. Generally, until a debtor is insolvent or has an act of bankruptcy in contemplation, he is quite free deal with his property as he wills and he may prefer one creditor over another but, upon becoming insolvent, he can no longer do any act out of the ordinary course of business which has the effect of preferring a particular creditor over other creditors. If one creditor receives a preference over other creditors as a result of the debtor acting intentionally and in fraud of the law, this defeats the equality of the bankruptcy laws.8 The following statement from Re Norris, an Alberta Court of Appeal decision, makes the point even more clearly: . …

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.330
Teacher spread0.289 · 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.

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

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