The Auditing Analytical Procedures at the Beginning and Completion Phases of Engagement Toeing Discourse Analysis
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
Abstract This study examines external auditors lived experiences on the use of the analytical procedure (AP), drawing on interpretative perspective. Interviews of 14 experts conducted with auditors of Big4 firms and the archival data from the International Standards for Auditing (ISA) constitutes the data corpus. What we lose with the apparent number of the interviewee, we gain from the stream of knowledge of the auditors. Methodologically wise, discourse analysis was applied for data analysis. Results showed that in the imagination of the auditors, the use of AP enhances the efficiency and effectiveness of the audit. However, in the day-to-day practice, due to weaknesses in the preparation and review processes, professionals do not find pleasure in it since AP is executed to meet standards. So, drawing on New Institutional Sociology theory, a search for legitimacy justifies this end. Findings raise a concern on what practitioners ought to focus on for evidence gathering. This study advances upon the disposition of the audit work, the real need for the imposition of audit procedures by regulatory bodies, and exposure of the theme in academia. Overall, considering that on this topic, quantitative studies are mostly studied, the originality of this research spans the discourse analysis toeing interpretative perspective.
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.
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 | 0.002 | 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 | 0.009 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it