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Record W3196002247

BANKRUPTCY EXEMPTIONS: THE NEED FOR UNIFORMITY IN THE UNITED STATES AND CANADA

2001· article· en· W3196002247 on OpenAlexaboutno aff
Rose J. Murphy

Bibliographic record

VenueeYLS (Yale Law School) · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsnot available
Fundersnot available
KeywordsBankruptcyBusinessPolitical scienceActuarial scienceFinance
DOInot available

Abstract

fetched live from OpenAlex

A goal of any bankruptcy system is to give honest but unfortunate debtors a fresh start 1 at becoming productive members of society. 2 Exemptions are important to accomplish this goal.Black's Law Dictionary defines exemptions as "a privilege allowed by law to a judgment, by which he may hold property up to a certain amount or certain classes of property, free from all liability to levy and sale on execution or attachment" 3 or in a bankruptcy case, excluded from the bankruptcy estate.Exemptions are either listed as categories of items, limits on values of certain property or a combination of the two. 4 It is the debtor's interest in the property and not the property itself that is exempt. 5All debtors should be able to retain certain property that creditors cannot reach. 6 This ensures that debtors have property to start over with in both their personal and financial lives.Exemptions reflect what society views as property that is important to a person's livelihood, which should be protected from creditors' claims. 7 For example, the exemption of a debtor's residence reflects a belief that the home is necessary to protect the debtor and the debtor's family.Changes in exemptions reflect the changes in societal value judgments.For example, a past focus on exemptions for farm animals and crops has changed to a focus on cars and household appliances. 81.The exemption of certain property combined with the expectation of a discharge, form the concept of a "fresh start".See

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.214
Teacher spread0.201 · 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 designNot applicable
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

Citations1
Published2001
Admission routes1
Has abstractyes

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