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Record W2039419762 · doi:10.1002/iir.166

Individual voluntary arrangements: A ‘fresh start’ for salaried consumer debtors in England and Wales

2009· article· en· W2039419762 on OpenAlexvenueno aff
Adrian J Walters

Bibliographic record

VenueInternational Insolvency Review · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsInsolvencyBankruptcyCreditorConsumer debtDebtBusinessContext (archaeology)PaymentFinanceAccounting

Abstract

fetched live from OpenAlex

Abstract Since the mid‐1990s the number of consumer insolvencies in England and Wales has grown exponentially. The UK's Insolvency Act 1986 offers two formal responses to personal insolvency: bankruptcy and individual voluntary arrangements (‘IVAs’). While consumers have used both these debt relief mechanisms in increasing numbers in recent years, IVAs—regulated agreements between debtors and creditors facilitated by a licensed insolvency practitioner, usually taking the form of a 5‐year payment plan—grew faster than bankruptcies between 2003 and 2006. However, the level of new IVA approvals fell back in 2007 and the first half of 2008. This article charts the transformation of the IVA from a bankruptcy alternative originally designed for insolvent traders and professionals into a tool of consumer debt relief. It then seeks to explain both the stellar rise in IVA usage among consumer debtors and the subsequent stalling of IVA growth. The rise of consumer IVAs can be attributed largely to supply side changes in the market for debt resolution—in particular the emergence of volume providers commonly referred to as ‘IVA factories’—while a sustained backlash against the procedure and the providers instigated by institutional creditors demanding higher recoveries accounts for the subsequent decline in approvals. The article concludes by considering the near‐term prospects for consumer IVAs within the context of the increasingly complex UK debt resolution market. Copyright © 2009 John Wiley & Sons, Ltd.

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 score0.767
Threshold uncertainty score0.726

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 head0.039
GPT teacher head0.273
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 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

Citations3
Published2009
Admission routes1
Has abstractyes

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