Oral histories in meteoritics and planetary science: X. Ralph B. Baldwin
Bibliographic record
Abstract
Abstract— In this interview, Ralph Baldwin describes how he earned his Ph.D. in astronomy and then, early in his career, became interested in the Moon and the origin of its craters. When he concluded that the craters were formed by meteorite impacts rather than by volcanism, he faced great difficulties in finding an audience or a publisher. During World War II, he helped to design and develop operating specifications for the radio proximity fuze which has been credited with shortening the War by at least one year. Subsequently, he joined the family firm, The Oliver Machinery Company, in Grand Rapids, Michigan. He pursued his lunar studies on nights and weekends and wrote his first book, The Face of the Moon, which was published in 1949. Sales were poor, but the book was read by Harold C. Urey, who sought out Baldwin for discussions about the Moon, and by Peter M. Millman, in Ottawa, who prompted Dr. Carlyle S. Beals, the Dominion Astronomer, to begin the highly successful search for impact craters on the Canadian Shield. With his second book, The Measure of the Moon, published in 1963, Baldwin became recognized as a leading authority on the Moon and on planetary processes in general. He is the only scientist other than Eugene M. Shoemaker to whom the Meteoritical Society has presented both its Leonard Medal, in 1986, and its Barringer Medal, in 2000, and who also received the G. K. Gilbert Award, in 1986, from the Planetary Sciences Division of the Geological Society of America.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.089 | 0.026 |
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".