Bibliographic record
Abstract
Purpose – The purpose of this paper is to characterize how those who perform (internal auditors), mandate (audit committee (AC) members), use (AC members and external auditors) and normalize (the Institute of Internal Auditors (IIA)) internal audit work, respectively make sense of the notion of “internal audit quality” (IAQ). Design/methodology/approach – This study is predicated on the meta-analysis of extant literature on IAQ, 56 interviews with internal auditors and AC members of public or para-public sector organizations in Canada, and archival documents published by the IIA, analyzed in the light of framing theory. Findings – Four interpretative schemes (or frames) emerge from the analysis, called “manager,” “éminence grise,” “professional” and “watchdog.” They respectively correspond to internal auditors’, AC members’, the IIA’s and external auditors’ viewpoints and suggest radically different perspectives on how IAQ should be defined and controlled (via input, throughput, output or professional controls). Research limitations/implications – Empirically, the authors focus on rare research data. Theoretically, the authors delineate four previously undocumented competing frames of IAQ. Practical implications – Practically, the various governance actors involved in assessing IAQ can learn from the study that they should confront their views to better coordinate their quality control efforts. Originality/value – Highlighting the contrast between these frames is important because, so far, extant literature has predominantly focussed on only one perspective on IAQ, that of external auditors. The authors suggest that IAQ is more polysemous and complex than previously acknowledged, which justifies the qualitative and interpretive approach.
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 | 0.021 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.003 | 0.040 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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".