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Record W3115381380

The Emergence and Reform of the New Zealand Class Action: The Second Empirical Study

2020· article· en· W3115381380 on OpenAlexaboutno aff
Nikki Chamberlain, Susan Watson

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsClass actionPlaintiffCivil procedureClass (philosophy)Political scienceLaw and economicsFederal Rules of Civil ProcedureAction (physics)LawOpt-outBusinessEconomicsComputer scienceState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The civil procedure framework that governs the management of class action litigation in New Zealand is ripe for reform. Although parties can commence class-wide litigation in New Zealand in a number of ways, the most commonly utilised, and non-issue specific way, is by the ‘representative rule’ derived from the United Kingdom and contained in High Court Rule 4.24 (HCR 4.24). Unfortunately, HCR 4.24 contains no further procedural guidance on the management of class-wide litigation than merely providing that a representative plaintiff can sue on behalf of persons with the same interest in the subject matter of a proceeding, either by consent of all plaintiffs represented, or by leave of the court. This failure to provide procedural guidance has put the New Zealand judiciary in a problematic position. On the one hand, there are clear advantages in allowing class-wide litigation. On the other hand, the judiciary has to rely on a rule that was never intended to bear the burden of managing class actions. Courts are in essence forced to allow opt-in class actions while simultaneously developing class action procedure through their inherent powers on a case by case basis. Consequentially, all class action stakeholders are disadvantaged. The management of class actions is uneconomic, inefficient and uncertain. The issue is becoming acute. Empirical evidence suggests that class-wide actions have increased over the last four decades. Litigation funders, which are currently unregulated, have now entered the New Zealand market. The need for reform is pressing. When considering reform options, New Zealand can look to overseas models. The United States, Canada and Australia have all adopted comprehensive statutory based class action civil procedure rules. The United Kingdom has gone down a different path by instead allowing for Group Litigation Orders. As New Zealand sits at a cross-road, what is the best option for reform? This chapter addresses both the development of the opt-in class action in New Zealand from its emergence in the ‘representative rule’ and the problems stakeholders face under the current civil procedure regime. It also evaluates the options for reform measured against the purposes and aims of class action litigation. Specifically, Section 1 contains an overview of the legal system and the civil procedure framework in New Zealand. Section 2 addresses the history of the ‘representative rule’ which is used to allow opt-in class actions. Section 3 discusses the current state of opt-in class actions in New Zealand, including empirical data on the types of class actions, the plaintiff class sizes and financing mechanisms utilised. Section 4 concludes with an overview of the issues likely to arise in the future and sets out reform recommendations. Please note that a later version of this chapter was accepted for publication by Cambridge Press. This is a draft.

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)0.009
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.361
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0050.010
Scholarly communication0.0080.008
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.001

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 head0.027
GPT teacher head0.279
Teacher spread0.251 · 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 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
Published2020
Admission routes1
Has abstractyes

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