Perennial self‐audit: model and applications
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 illustrates a perennial self‐audit model for quality management system (QMS) improvement. The model is based on the concepts of self‐ and nano‐audits, which directly contradict the two central tenets of classical auditing, namely auditor independence and the discrete nature of the auditing process. The general model is presented first, including a description of the underlying concepts (self‐audit, milli‐audit, micro‐audit and nano‐audit), and an illustration of the model elements and their interrelationships. This is followed by an explanation of the benefits and possible uses of the model. Three specific applications are discussed: QSM upgrade based on standards, facilitation of the transition from minimalistic to excellence‐based business systems, and the provision of support in the integration of function‐specific management systems. Subsequently, the emphasis is shifted towards a real‐life application of the proposed model in a high‐tech company. A demonstration of how this model was used to help the case study company in the transition from the ISO 9001: 1994 to the ISO 9001: 2000 QMS is provided.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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