Joseph Juran: overcoming resistance to organisational change
Bibliographic record
Abstract
r Joseph Juran is well known to most quality scholars. With a productive career spanning over three quarters of a century, his leadership and service in the field of quality management is measured in decades, not years. He has taught or consulted in at least 34 countries. He has written or contributed to hundreds of papers, speeches and dozens of books. His books have been translated into 12 or more languages. Among other things, he has pushed the concepts of the Pareto principle and Juran trilogy, and has increased the role of the human dimension in quality. He was born in Braila, Romania on 24 December 1904. His father was a shoemaker. At the age of 8 years, he and his family moved to Minneapolis, USA. The relocation was motivated by a desire to escape poverty and anti-Semitism. His mother died from tuberculosis about 8 years later. As a child and young adult, Juran was no stranger to hard work, and he reported that he had about 16 jobs, including selling newspapers, being a grocery store clerk, book-keeping and being a janitor, in the 12 years that he lived in Minneapolis. He learnt from all his work experiences, but he also pursued a formal education in addition to his demanding work schedule. 1 2 In 1924, he obtained a degree in electrical engineering from the University of Minnesota. He married Sadie Shapiro in 1926. He later went on to obtain a law degree from Loyola University in 1936, perhaps motivated by the economic uncertainty of the Depression.
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How this classification was reachedexpand
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 | 0.007 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".