Bibliographic record
Abstract
'Advances in Environmental Accounting & Management' aims to advance knowledge of the governance and management of corporate environmental impacts and the accounting for these, including issues related to measurement, valuation, and disclosure. It also aims to increase the awareness of management, accounting practitioners, investors and other stakeholders of the financial and social consequences of corporate environmental impacts, encouraging greater environmental accountability and responsibility. The first chapter in this volume (Dr Yousuf Kamal) is set in the context of the Bangladeshi garment industry, while the second chapter (Delphine Gibassier) explores the practice of water accounting. The remainder of this volume presents three chapters from the 3rd French Conference on Social and Environmental Accounting Research, guest edited by Sophie Giordano-Spring, Jonathan Maurice and Charles H. Cho. These chapters consider sustainability in Canadian CPA teaching programmes (Emilio Boulianne and S. Leanne Keddie); mandatory environmental reporting in France (Juliette Senn); and CSR reporting practices in Brazil and South Korea (Hyemi Shin and Adri an Zicari)
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.075 | 0.014 |
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; both teacher heads 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".