An Analysis of the Auditors' Liability to Third Parties in Australia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this research paper is to provide a comprehensive analysis of the scope of auditors' liability to third parties in Australia. In addition to examining the current legal position in Australia, the law on auditors' liability in other jurisdictions, including the United Kingdom, United States, Canada and New Zealand, will be examined and compared to the extent of their influence on Australian laws. It is argued that auditors in Australia are subject to a greater scope of liability than in other countries. As a result, there is a need for reform of audit laws in Australia to limit the extent of auditors' liability. Further, it is submitted that the development of future auditing laws in Australia should allow for the appropriate consideration of international trends in limiting liability. It is also anticipated that the proposed reforms will adequately safeguard auditors from the threat of litigation by third parties, and ultimately ensure that the floodgates for liability in Australia are not opened to an indeterminate level.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it