An Empirical Investigation of the Influence of Qualitative Risk Factors on Canadian Auditors’ Determination of Performance Materiality*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents the results of a field experiment that tested the effects of various qualitative risk factors suggested by auditing standards and prior literature on practicing Canadian auditors’ estimates of performance materiality, a concept introduced by Canadian Auditing Standard (CAS) 320, in the audit of specific accounts in a financial statement audit. Ninety-four practicing auditors responded to four scenarios and, based on “good” and “bad” versions of six qualitative risk factors, revised or not, as they deemed appropriate, initially established performance materiality for the audit of four different transaction streams/account balances. For all four scenarios, on average, the auditors revised, to a statistically significant degree, performance materiality, downward on the basis of “bad” information and upward on the basis of “good” information. Different combinations of transaction streams/accounts and risk factors were associated with different magnitudes of revision. However, at the level of individual participants, responses were quite varied. Some participants did not revise performance materiality and some even stated that performance materiality should not be revised based on risk-related information. It may be that the concept of performance materiality as promulgated in CAS 320 and the relationship between overall materiality, performance materiality, and risk requires clarification to provide appropriate guidance for auditors to make performance materiality judgments.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it