Does the Westpoint Litigation Signal a Revival of the ASIC Section 50 Class Action
Bibliographic record
Abstract
Section 50 of the Australian Securities and Investments Commission Act 2001 (Cth) confers a wide power on the Australian Securities and Investment Commission (ASIC) to bring civil action in the name of the company or a class action for shareholders or investors for the recovery of damages for corporate misconduct. Despite its broad scope, this power has been little used by ASIC. Until the recent Westpoint litigation it appeared that this trend seemed set to continue due to the recent growth in ASIC’s arsenal of enforcement powers, in particular the ability to bring proceedings seeking civil penalties, together with what promises to be a new age of private enforcement of shareholders rights through class actions funded by litigation funding corporations. In the context of this likely expansion of private enforcement action and the current legislative framework of ASIC’s enforcement powers, this article will examine when ASIC should bring civil action under this provision.
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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 | 0.015 | 0.055 |
| 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 | 0.009 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.017 | 0.014 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".