Can Class Action Regimes Operate Satisfactorily without a Certification Device? Empirical Insights from the Federal Court of Australia
Bibliographic record
Abstract
Contrary to the class action regimes that operate in the United States and Canada, the rules governing class actions in the Federal Court of Australia and in the Supreme Courts of the Australian states of Victoria and New South Wales do not employ what are commonly known as certification devices. As a result, the Australian regimes do not require the formal authorization of the court before a proceeding may be brought and conducted as a class action. Given that unlike the world's only other certification-free regime (the Swedish), Australia's class action rules are otherwise quite similar to their North American counterparts, they provide a valuable case study with respect to a fundamental question that has not generally been given the consideration it deserves by North American policy makers and commentators: can a comprehensive and modern class action regime operate satisfactorily without a certification mechanism? The aim of this Article is to explore this issue by providing the very first empirical evaluation of the operation of the mechanism that has been regulating since March 1992, in lieu of the certification device, what proceedings may be brought and conducted in the Federal Court of Australia as class actions. These empirical findings and the essential features of the alternative Australian model (frequently described as the decertification model) will also be compared and contrasted with the salient characteristics, and available empirical data concerning the operation of, the American and Canadian certification regimes.
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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 | 0.094 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".