An Appreciation: Irwin Schatz MD, MACP: A Man Before His Time.
Bibliographic record
Abstract
Irwin Schatz, physician educator and researcher, died on April 1, 2015 at age 83 of metastatic melanoma. Born in St. Boniface, Manitoba in 1931, he matriculated at the University of Manitoba and pursued fellowship training at the Mayo Clinic. Soon thereafter, while working at Henry Ford hospital, he was outraged by a publication discussing the Tuskegee clinical studies then underway. Those studies, performed in an apparent ethical vacuum, witheld known effective therapy for syphilis from patients so that the natural history of the disease could be observed. He wrote to the authors, stating that” … I assume you feel that the information which is extracted from observation of this untreated group is worth their sacrifice. If this is the case, I suggest that the United States public Health Service and those physician with it need to reevaluate their moral judgements in this regard….”1 The authors did not respond. His letter preceded, by at least a decade, open and honest recognition of research fallibility and lack of accountability. It was one of the stimuli for the Belmont Report2 and the formation of federally mandated Institutional Review Boards and the “Common Rule.”3 Dr. Schatz moved to Hawai‘i in 1975, serving the State and its citizens and Professor & Chairman of the Department of Medicine of JABSOM, Governor of the Hawai‘i Chapter of the American College of Physicians, and functioning as a role model for many phyicians now practicing in Hawai‘i. In 2008, the Mayo Clinic recognized him with their Distinguised Alumni Award. His diagnostic acumen was recognized with the granting to him of the Master of the American College of Physicians designation, a rarely granted honor. After retirement, he drew great pleasure while showing his usual competence as a docent at the Honolulu Academt of Arts. He is survived by his wife, two sons and many grandchildren.
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.
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 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.014 |
| Insufficient payload (model declined to judge) | 0.047 | 0.024 |
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".