An Interview with Dr. Bernie Warren, Clown Doctor and Founde of Fools for Health
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
Bernie Warren Ph.D. (A .K .A . Dr . Haven't-AClue) is a full professor at the University of Windsor. His expertise and research spans a vast array of interests that relate to wellness, well-being, and the role of the arts in healthcare and education and are reflected in many articles, books, speaking engagements and participation in international symposiums and conferences. In 2001, he was awarded the Alumni Award for Distinguished contributions to University Teaching. His research and practice brings together his training and interest in Eastern martial arts and healing with his Western training in psychology and performing arts. He has worked with severely disabled children, seniors and people with life threatening medical conditions. His work with therapeutic clowns, "Clown-doctors" as he prefers, has been acclaimed as pioneering work in the field of applied medicine and child life specialties. In this interview, I discuss specifically with Dr. Warren about the role of humour and the work of clown-doctors.
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 | 0.000 | 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) | 0.000 | 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