Financial Scandals, Accounting Change and the Role of Accounting Academics: A Perspective from North America
Bibliographic record
Abstract
This paper examines the responses of North American academics to the recent wave of accounting and audit scandals, pointing out that the main response has either been to appeal to a moralistic concept of ethics or to portray them as isolated incidents or indicative of problems elsewhere (e.g. relating to investment advice). We suggest that these responses fail to address the social and political context of accounting. Drawing on Bourdieu's framework for analysing academic work, the paper locates North American accounting academia, even though it is quite fragmented and diverse, in the Corporate University, and the allegiances of North American accounting academics to the accounting industry. However, recent scandals also provide an opportunity to intervene effectively and produce meaningful change. Through collective action, perhaps through the Association for Integrity in Accounting, we offer suggestions for interventions to produce substantive and worthwhile changes in teaching and research.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.030 | 0.027 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".