The Emergence and Reform of the New Zealand Class Action
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".