<i>Corporate Governance in Australia and New Zealand.</i> By J<scp>ohn</scp> F<scp>arrar</scp>. [Oxford: Oxford University Press. 2001. xxvi, 472 and (Appendices and Index) 52 pp. Paperback £33.99. ISBN 0–19–551314–2.]
Bibliographic record
Abstract
The title chosen for this book may suggest that it is a work written for an antipodean audience and not likely to be of any great interest to readers outside those two countries. Nothing could be further from the truth. Particular reference is, indeed, made to the law and commercial practice in Australia and New Zealand and the author’s comments largely have their focus there; but this is an undertaking which can be described without exaggeration as global both in its conception and its scope. For the English reader, in particular, there is as full and interesting an account of developments in corporate governance in his own jurisdiction as is likely to be found in any other book on the topic; and there is also extensive reference to American and Canadian materials and practice and to the position in the countries of continental Europe, Japan and China.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".