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Record W4410260600 · doi:10.1002/iir.1569

40 Years of consumer bankruptcy law in continental Europe: A qualitative analysis on the absence of consumer bankruptcy in the Western Balkan countries

2025· article· en· W4410260600 on OpenAlexvenueno aff
Marinela Majnova

Bibliographic record

VenueInternational Insolvency Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsnot available
Fundersnot available
KeywordsBankruptcyBusinessQualitative analysisLawPolitical scienceQualitative researchSociologySocial science

Abstract

fetched live from OpenAlex

Abstract There are 12 countries in Europe without any consumer bankruptcy legislation, and almost half of them are located in the Western Balkans. The only available solution for debt repayment in the region is the enforcement procedure. This article identifies the reasons behind the non‐existence of consumer bankruptcy, and the challenges that Western Balkan countries face currently. Specifically, the article examines the rationale behind the need for consumer bankruptcy law enactment and the reasoning supporting the adoption of distinct consumer bankruptcy laws in the Western Balkans, encompassing economic, legal and cultural dimensions. Analysis of the absence of consumer bankruptcy legislation in the Western Balkans and the reasons behind it is terra incognita in the literature and the main contribution that the author offers. For this purpose, the author used qualitative research methods and conducted a qualitative study consisting of semi‐structured one‐on‐one interviews with legal professionals, policymakers and enforcement officials using open‐ended questions. The insights gained provide valuable implications for future consumer bankruptcy reforms in the region. The research contributes to the existing body of literature by offering a unique understanding of the phenomenon in European countries where currently there is no solution for debt adjustment.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.974
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.047
GPT teacher head0.408
Teacher spread0.361 · 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 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
Published2025
Admission routes1
Has abstractyes

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