Sustainability Reporting: An Accountant’s Perspective
Bibliographic record
Abstract
The current state of sustainability reporting lacks useful information for decision-making. Specifically, this paper examines the sustainability report of a major multinational organization from the perspective of accounting and the qualities of information as defined by the U.S. Financial Accounting Standards Board and the Global Reporting Initiative. Fifty-eight graduate accounting students were assigned an exercise that involved analyzing Wal-Mart’s 2013 Corporate Social Responsibility report within the context of the GRI’s Principles of Quality Reporting. The results indicated that the Report failed to provide useful information for stakeholders and was more of an instrument of public relations. While the Report failed to meet many of the GRI’s Principles, the students believed the most serious flaw was the absence of cost and segment information. Without mandates the only viable mechanism to improve sustainability reports is for GRI to certify those reports that strictly adhere to the Principles of Quality Reporting.
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 | 0.062 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.029 | 0.029 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.013 | 0.014 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".