Bibliographic record
Abstract
Citation (2015), "List of Contributors", Sustainability Disclosure: State of the Art and New Directions (Studies in Managerial and Financial Accounting, Vol. 30), Emerald Group Publishing Limited, Bingley, p. vii. https://doi.org/10.1108/S1479-351220150000030008 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Francesco Bavagnoli Department of Economics and Business, Eastern Piedmont University, Novara, Italy Sylvie Berthelot Faculté d’administration, Université de Sherbrooke, Sherbrooke, Québec, Canada Maurizio Comoli Department of Economics and Business, Eastern Piedmont University, Novara, Italy Michel Coulmont Faculté d’administration, Université de Sherbrooke, Sherbrooke, Québec, Canada Francesco Gangi Department of Economics, Second University of Naples, Naples, Italy Lorenzo Gelmini Department of Economics and Business, Eastern Piedmont University, Novara, Italy Stacey Loomis Raymond Chabot Grant Thornton, Sherbrooke, Québec, Canada Anna Pistoni Department of Economics, University of Insubria, Varese, Italy Patrizia Riva Department of Economics and Business, Eastern Piedmont University, Novara, Italy Lucrezia Songini Department of Economics and Business, Eastern Piedmont University, Novara, Italy Book Chapters Sustainability Disclosure: State of the Art and New Directions Studies in Managerial and Financial Accounting Sustainability Disclosure: State of the Art and New Directions Copyright Page List of Contributors Introduction Key Tools and Frameworks for Sustainability Disclosure Determinants and Impacts of Sustainability Disclosure New Trends and Directions in CSD: The Integrated Reporting Empirical Analysis Waiting for Materiality in the Context of Integrated Reporting: Theoretical Challenges and Preliminary Empirical Findings
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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.718 | 0.701 |
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".