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Record W4413909723 · doi:10.1002/iir.70011

The regime regarding suspension of security interests during bankruptcy reorganization: From the perspective of small and medium‐sized enterprises in China

2025· article· en· W4413909723 on OpenAlexvenueno aff
Chuanliang Wang, Tianqi Liu

Bibliographic record

VenueInternational Insolvency Review · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEducational Reforms and Innovations
Canadian institutionsnot available
FundersNational Social Science Fund of China
KeywordsPerspective (graphical)ChinaSuspension (topology)BankruptcyBusinessSmall and medium-sized enterprisesLawPolitical scienceComputer scienceFinanceMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

ABSTRACT Due to the misalignment between enterprises and market demands, the need for bankruptcy reorganization among small and medium‐sized enterprises (SMEs) has been progressively rising. In the context of increasingly frequent cross‐border insolvency cases, the complexity of such situations has significantly intensified. In judicial practice, the exercise of creditors' rights, particularly those of secured creditors, is often restricted in an effort to salvage SMEs. However, there are ongoing concerns regarding the criteria and duration for suspending the exercise of security rights, as well as the excessive limitations imposed on secured creditors without sufficient safeguards. By striving for a balance between the restrictions placed on secured creditors and the protections afforded to SMEs during the bankruptcy reorganization, this paper seeks to establish a theoretical foundation for the suspension of security interests through the analysis of judicial cases in China and by referencing the bankruptcy laws of the United States, Japan, and other jurisdictions.

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)0.001
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 score0.100
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.284
Teacher spread0.273 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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