Bibliographic record
Abstract
Citation (2015), "Editorial Board", Sustainability and Governance (Advances in Public Interest Accounting, Vol. 18), Emerald Group Publishing Limited, Bingley, pp. ix-x. https://doi.org/10.1108/S1041-706020150000018007 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Gloria Agyemang Royal Holloway, University of London, UK Jane Andrew University of Sydney, Australia Ed Arrington University of Wollongong, Australia Jane Broadbent Royal Holloway, University of London, UK Judy Brown Victoria University of Wellington, New Zealand Nihel Chabrak United Arab Emirates University, UAE Michele Chwastiak University of New Mexico, USA Wai Fong Chua University of New South Wales, Australia Charles Cho ESSEC Business School, France Penny Ciancanelli University of Glasgow, UK David Cooper University of Alberta, Canada Martin Freedman Towson University, USA Sonja Gallhofer University of Glasgow, UK James Guthrie Macquarie University, Australia Theresa Hammond San Francisco State University, USA Ingrid Jeacle University of Edinburgh, UK David Knights Lancaster University Management School, UK Naoko Komori Sheffield University, UK Fahrettin Okcabol Critical Accounting Society, USA Lee Parker RMIT University, Australia Joanne Rockness University North Carolina Wilmington, USA Massimo Sargiacomo University Gabriele d’Annunzio Chieti-Pescara, Italy Paul Williams North Carolina State University, USA Hugh Willmott Cass Business School, City University of London, UK Book Chapters Sustainability and Governance Advances in Public Interest Accounting Sustainability and Governance Copyright Page List of Contributors Editorial Board Protecting the Public Interest through Mandatory Auditor Firm Rotation: A Controversial Issue Independent Directors and Dividend Payouts in the Post Sarbanes–Oxley Era Mandated Climate Change Disclosures: A Study of Large US Firms That Emit Carbon Dioxide Institutional Accountability for True Green Are Public University Executives Paid for Their Performance? Invited Essay on Gender and Social Justice: “Gender, Knowledge and Accountability” List of Referees
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 | 0.009 | 0.049 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.019 | 0.008 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.299 | 0.293 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".