Bibliographic record
Abstract
An interview in three sessions, December 1985 and January 1986, with Samuel Epstein, William E. Leonhard Professor of Geochemistry in the Division of Geological and Planetary Sciences. Dr. Epstein received his BS (1941) and MS (1942) degrees from the University of Manitoba and his PhD (1944, with Carl Winkler) from McGill University. He became a research fellow at Caltech in 1952 and two years later joined the faculty as an associate professor. He received the Leonhard chair in 1984, retired in 1990, and died on September 17, 2001. In this interview, he discusses growing up in Poland between the two World Wars and immigration to Winnipeg in 1927. Recalls his first interest in science and influence of Alan Newton Campbell at University of Manitoba; graduate work at McGill; meeting European scientists during war work on Canadian Atomic Energy Project. Moves to McMaster University to work with Henry G. Thode on isotopes, using mass spectrometry; thence to the University of Chicago, 1947, to work with Harold Urey on paleotemperatures and Heinz Lowenstam on marine shells. He discusses the advent of geochemistry at Caltech in the early 1950s, with the hiring of Harrison Brown, Clair Patterson, Charles McKinney, Gerald Wasserburg, and himself from the University of Chicago. He describes his isotopic work and the evolution of the geology division, especially under Robert Sharp (1952-1968). Comments on Linus Pauling case and Pauling’s departure from Caltech. The interview concludes with comments on current state of Caltech and reminiscences of his career and colleagues.
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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.014 |
| Insufficient payload (model declined to judge) | 0.035 | 0.010 |
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".