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Record W3137164538

Abuse of Court Process: A Study of How Vanuatu Court of Appeal Has Addressed Abuse of Court Process Over Two Decades

2016· article· en· W3137164538 on OpenAlexaff
Kanksha Mahadevia Ghimire

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLawSupreme courtAppealJurisdictionCourt of recordPolitical scienceLaw of the caseOriginal jurisdictionStatutory lawHigh Court
DOInot available

Abstract

fetched live from OpenAlex

Courts across common law jurisdictions endeavour to ensure that each litigant gets equal and fair opportunity to present its case, while restraining the abuse of court's process by litigants or their counsels. Decisions by Vanuatu courts demonstrate that they too are constantly challenged to achieve and uphold this delicate balance. Vanuatu’s apex court, the Court of Appeal (CA), affirms it has inherent powers to curb abuse of court’s process sharing the position taken by courts across common law jurisdictions. Additionally, the CA has broad powers to determine appeals from Vanuatu’s Supreme Court (SC), including the powers and jurisdiction of the SC set out under the Civil Procedure Rules 2002 (Rules) to address abuse of court process. The purpose of this article is to explore how the CA has addressed abuse of court’s process by litigants. This article focuses on cases brought before the CA over the past 20 years in which at least one party is the government or a statutory body. Section I of this article discusses how courts and commentators generally understand abuse of court process, and why courts believe it is necessary to address it. Section II sets out the reasons for focusing on cases involving the government or statutory body and limiting CA case review to the last 20 years. Section III describes the powers set out under the Rules that may aid CA in addressing abuse of court process. Court’s inherent powers including its limitations are discussed under Section IV. Section V discusses courts' power to address abuse of court process, and Section VI describes the cases in which CA identified elements of abuse of court process, and how it addressed the issue.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.341
Teacher spread0.317 · 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 designQualitative
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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