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Record W2734742708

Shelter in the Storm: Interpleader Proceedings as Protection for Owners in the Wake of the O.W. Bunker Bankruptcy

2017· article· en· W2734742708 on OpenAlexaboutno aff
Jingchen Xu, Chu Bei-ping

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsnot available
Fundersnot available
KeywordsBankruptcyPlaintiffPaymentBusinessJurisdictionBunkerEquity (law)SubsidyFinanceLaw and economicsLawEconomicsPolitical scienceEngineeringCoal
DOInot available

Abstract

fetched live from OpenAlex

The collapse of O.W. Bunker, in order to avoid potential multiple fuel payment claims, vessel owners initiated the interpleader actions across the world. Courts, therefore, have encountered the issue of whether jurisdictions exist over the interpleader actions when in rem actions are involved after the collapse of O.W. Bunker. This paper analyzes the availability of interpleader actions for vessel owners from an international perspective. The courts in the United States, Canada, and England, held that they have subject matter jurisdiction over the interpleader actions; while the Singapore High Court reached the opposite conclusion and dismissed the request for interpleader. The primary question examined in this paper is: when one claimant proceeds against the vessel in rem while the other claimant proceeds against the vessel owner in personam, whether the interpleader proceeding is available to protect the vessel owner from potential double payment. This paper argues that the interpleader proceedings should be allowed. Allowing interpleader proceedings fulfills the purpose of the interpleader action and serves the interest of equity and prevents duplicative payments. The in personam claims against the vessel owners and in rem claims against the vessels were “merely alternative procedural devices to obtain the same relief”. Courts should apply the personification doctrine equitably in the interpleader arena and protect the shipowner from multiple payments and from the risk of ship arrest arising from the bankruptcy of a fuel supplier.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0090.006
Open science0.0020.004
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.033
GPT teacher head0.269
Teacher spread0.235 · 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
Published2017
Admission routes1
Has abstractyes

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