Quality assurance and effectiveness of audit systems
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
Quality audits are prominent and proven management tools for assessing compliance and effectiveness of quality systems. They are commonly used in the effort to improve overall business performance. However, similarly to any other physical or conceptual system, they may fail to achieve objectives set forth, raising concerns among auditees and clients alike. Argues for the provision of adequate confidence to various interested parties in the quality of auditing services. A quality audit is conceptualized using the systems approach. Subsequently, a quality assurance framework based on the application of the 1994 and 2000 versions of the ISO 9001 standard in auditing is presented. Audit system effectiveness is modeled using the concepts of audit reliability, availability and suitability. Audit failures, risks and maintainability are addressed in detail. It is concluded that audit managers must ensure appropriate levels of quality and effectiveness of quality audit systems.
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 | 0.013 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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