Reintroducing Bunky at 125: E.M. Jellinek’s life and contributions to Alcohol Studies
Bibliographic record
Abstract
Objective: Elvin Morton Jellinek (1890–1963) was one of the founders of modern addiction science. This overview is a brief survey of his life and achievements, intended to re-introduce alcohol scholars to his contributions (and possible failings) as well as stimulate interest and historical research in the field. Method: The article draws largely from the archival collection of the Rutgers Center of Alcohol Studies (CAS) Library and the Jellinek memorial issue of the CAS Information Services Newsletter. Scholarly works and personal and institutional records by or about E. M. Jellinek were assembled and, when necessary, translated into English. Results: Born in 1890 in New York and raised in Hungary, Jellinek studied at several European universities and worked for various institutions and organizations in Budapest (1914–1920), Sierra Leone, Honduras, and at the Worcester State Hospital, in Massachusetts. In 1941 he became an associate professor of applied physiology at Yale University, where he directed the Yale Summer School of Alcohol Studies from 1941 to 1950. After more than a decade of work with the World Health Organization and several Canadian institutions, he taught and conducted research at the Institute for the Study of Human Problems at Stanford University until his death in 1963. Jellinek was a pioneer in research on the nature and causes of alcoholism and was an early proponent of the disease theory of alcoholism. Conclusions: With the help of E. M. Jellinek, the modern era of addiction science was launched with an international outlook that included critical attention to the physical infrastructure and intellectual capital needed to form an interdisciplinary field of basic research, applied science, and clinical practice.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.005 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".