Total Quality Management: A pictorial guide for managers
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
Another new book in the popular and original series of pictorial guides - John Oakland cuts through the complex concepts and confusing jargon associated with implementing Total Quality, and Peter Morris presents the information in his inimitable pictorial style. This book will show students and managers what they need to understand about TQM in the simplest, clearest and most memorable form. Professor John Oakland is undoubtedly the British guru of quality management. Following a successful industrial career in research and production management, he has developed a pragmatic approach to introducing TQM which he and his colleagues have used successfully in literally thousands of organizations. He is founder and Executive Chairman of OAKLAND Consulting Plc. and Head of the European Centre for TQM at the University of Bradford Management Centre. Also published by Butterworth-Heinemann are John Oakland's bestselling Total Quality Management (now in its second edition) and Cases in Total Quality Management. Peter Morris is the creative force behind the illustrations in all Butterworth-Heinemann's pictorial guides. Originally trained as an art teacher, he spent several years as an industrial designer in Canada before returning to England to design educational and training materials for the University of Sussex. His experience working on industrial contracts convinced him, quite rightly, that cartoons are frequently the best way to illustrate the abstractions of business life.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.007 |
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