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Record W122341296

Interview with Samuel Epstein

2011· article· en· W122341296 on OpenAlexfundaboutno aff
Samuel Epstein

Bibliographic record

VenueThe Caltech Institute Archives (California Institute of Technology) · 2011
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
FundersMcMaster UniversityMcGill University
KeywordsArt historyAssociate editorLibrary scienceClassicsHistory
DOInot available

Abstract

fetched live from OpenAlex

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. 
\nIn 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. 
\nHe 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.
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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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.218
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2011
Admission routes2
Has abstractyes

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