Bibliographic record
Abstract
Interview in six sessions, July and August 1987, with Charles A. Barnes, professor of physics, Caltech. He talks about his childhood and adolescence in Ontario, Canada; his early affinity for mathematics and science; undergraduate years at Canada’s McMaster University; wartime work in the British-Canadian atomic energy project at Chalk River, Montreal; and postwar PhD studies in physics at the University of Cambridge, working with O. Frisch and D. Wilkinson. The discussion of his 40-year career in Caltech's Kellogg Radiation Laboratory deals with many aspects of the lab’s history, personnel, and research contributions. Barnes talks about his nuclear physics collaborations with W. Fowler, T. Lauritsen, C. Lauritsen, and R. Christy. He gives a detailed account of his and Kellogg’s accelerator-based investigations into the nature of the weak nuclear interaction—a key focus of postwar work in quantum field theory and the development of grand unified theories—and describes research collaborations in this area with theorists M. Gell-Mann and R. P. Feynman. He talks about Kellogg’s social and scientific culture, the development of its accelerators and the chronology of its research, its groundbreaking investigations into stellar evolution and stellar nucleosynthesis, and the awarding of the 1983 Nobel Prize in physics to Fowler for his work in nucleosynthesis. Barnes describes his work with J. Bahcall on the solar neutrino flux and discusses the research contributions of K. Thorne, J. DuMond, F. Boehm, M. Schmidt, and G. J. Wasserburg, among others. The interview also covers Kellogg’s role in the physics and astrophysics community, both within and beyond Caltech, and the lab’s relationship with Caltech administration, including presidents and division chairs; Barnes’s work with students; and his views on current trends and future directions in physics and astrophysics.
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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.029 | 0.011 |
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".