Elmar Mock, From the Swatch to Creaholic: Inventor, Intrapreneur and Entrepreneur
Bibliographic record
Abstract
Abstract Elmar Mock's extraordinary story began in a small village in Switzerland. Born in 1954, he was the son of an Austrian immigrant and a Swiss mother. School was difficult, as he struggled with dyslexia. Nevertheless, he graduated from engineering school, obtained a job with a Swiss manufacturer, ETA. By the age of 26, he had co-invented the Swatch. Following the accidental death of his brother, Stéphane, in 1985, he decided to leave his job and launch his own creativity and innovation consulting company, Creaholic, in 1986. In 2014, Elmar retired from Creaholic and created with his second wife Hélène Mock née Kett, a second company: ‘Mock-Kett’. He has created more than 80 families of patents in various industries and has been involved in more than 600 projects. He is also a member of the advisory boards of some of the spin-offs incubated by Creaholic. He remains active as a speaker and international consultant with ‘Mock-Kett’, which promotes the motivational side of invention. He has received numerous awards and his book ‘The Innovation Factory’ has been published in three languages. The case depicts a one-of-a-kind creative mindset and offers in-depth reflections on the concepts of creativity, innovation and intrapreneurship and their applications in organizations.1
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".