Institutional context and auditors' moral reasoning: A Canada-US comparison
Bibliographic record
Abstract
This paper compares the moral reasoning of 363 auditors from Canada and the United States. We investigate whether national institutional context is associated with differences in auditors'' moral reasoning by examining three components of auditors'' moral decision process: (1) moral development, which describes cognitive moral capability, (2) prescriptive reasoning of how a realistic accounting dilemma ought to be resolved and, (3) deliberative reasoning of how a realistic accounting dilemma will be resolved. Not surprisingly, it appears that institutional factors are more likely to be associated with auditors'' deliberative reasoning than their prescriptive reasoning in both countries. Additionally, our findings suggest that the national institutional context found in the United States, which has a tougher regulatory and more litigious environment, appears to better encourage auditors to deliberate according to what they perceive is "the ideal" judgment as compared to the Canadian context. We then discuss the implications of these findings for regulators and for ethics research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".