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Record W2407831967 · doi:10.5539/ass.v12n6p34

Some Legal Aspects of Non-judicial Foreclosure in Case of Default on Credit Contract in Vietnam

2016· article· en· W2407831967 on OpenAlexvenueno aff
Thuy Thi Thu Le, Tuan Nguyen Minh

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsForeclosureCreditorCollateralBusinessLawSecurity interestJudicial reviewPossession (linguistics)EconomicsLaw and economicsPolitical scienceDebtFinance

Abstract

fetched live from OpenAlex

This paper aims to present the authors’ examination of some aspects of Vietnam’s positive law regarding non-judicial foreclosure. Upon default, a bank as a secured creditor may enforce his security right over the collateral that is understood as foreclosure. Foreclosure includes judicial foreclosure and non-judicial foreclosure. In the way of non-judicial foreclosure, a secured creditor can take possession and dispose the secured property without a court’s involvement. So, it may save the secured creditor time and cost. The law governing the non-judicial foreclosure should not only provide the efficient mechanics of self-help repossession but also protections to a grantor. It should be examined whether Vietnamese law meets this requirement. By this study, some drawbacks and shortages of Vietnamese law in relation to non-judicial foreclosure are exposed and then some recommendations for improvement of positive law of Vietnam governing the exercise of the non-judicial foreclosure are presented.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.304
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes1
Has abstractyes

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