Bibliographic record
Abstract
Relatively early in his career, Gerry began publishing essays of soaring sweep. When the muses of metaphor and the sirens of style beckoned, Gerry's passionate, creative ideas came forth in eloquent richness and pedagogical power. Moreover, in Gerry's writing there was always resonance with the humanities. He knew, by virtue of his education, so much of what had happened in Europe in the 19th and 20th centuries, the zeniths there of science, medicine, music, art, and literature. But he also, by virtue of exodus, knew of the horrific. As to remembrance, Gerry was a physician-scientist analog of Herman Wouk and Marcel Proust. And as to social justice, he was a physician-scientist analog of Louis Brandeis. These tributaries were always in Gerry's mind, flowing into the medical and scientific domains of his essays as a grand, commutative delta. Beyond his sterling reputations as a rheumatologist and cellular immunologist, and his revered status as a teacher and mentor both in the clinic and the laboratory, Gerry Weissmann enriched us by his broader erudition, conveyed so nimbly by his engaging pen.
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 | 0.006 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".