Examining the Ethical Behavior of Ontario Chartered Accountants: A Longitudinal Review of the Disciplinary Process
Bibliographic record
Abstract
Abstract The governing bodies of the Chartered Accountant (CA) profession and business schools go to great lengths to ensure accounting professionals are equipped with a skill set that meets technical, professional, ethical, and other general requirements. In spite of a strict code of ethics, violations of the professional conduct rules leading to disciplinary action are a reality. Using the total CA membership (N = 36,465) of Ontario, Canada, this study makes a 27‐year retrospective assessment of the frequency of disciplinary cases, the characteristics of offenders, the disciplinary process, and the sanctions imposed. Results indicate that: (i) approximately 1.38 percent of the members have been charged with violations of the Rules of Professional Conduct by the Institute of Chartered Accountants over that period; (ii) most were sole proprietors engaged in public accounting; (iii) on average, men make up 76 percent of the CA membership, outnumbering women by three to one (3:1); yet, men were 16 times more likely than women to be charged; (iv) the majority of the offences occurred while members with public accounting licenses were conducting external audits; and (v) sanctions ranged from a “rap on the knuckles” admonishment to expulsion from the CA profession. This study is exploring the CA disciplinary process as observed through disciplinary notices and suggests improvements to the system.
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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".