<scp>RICHARD</scp> W. <scp>EPPLEY</scp> (1931–2023): Generous Giant in the Field of Biological Oceanography
Bibliographic record
Abstract
Dick" Eppley died peacefully on 7 October 2023, just 5 days shy of his 92 nd birthday.When the news spread among oceanographers now regarded as elders, one word in particular emerged: giant.Dick Eppley was indeed a giant in the field of biological oceanography, not only because of his fundamental contributions to its conceptual structure, but also through the lasting impacts of his mentorship, quiet support, and inspiration on a generation of scientists who have been guided by his vision of how to study processes that structure food webs and biogeochemical cycles in the sea (Fig. 1).Son of a fifth-generation metalworker, Dick Eppley broke the mold.He was born and raised in Washington State, where he attended college (B.A. in Botany, Washington State College, Pullman) and met Jean, his life-long sweetheart.Dick played jazz in big bands and quartets to make ends meet and won a National Science Foundation (NSF) scholarship for graduate study.After quickly proposing to and marrying Jean, he enrolled in Stanford University's graduate program in marine biology.He completed his Ph.D. in plant physiology under the direction of Lawrence W. Blinks, studying ion transport in seaweeds at the Hopkins Marine Station.Seeking better opportunities for his growing family after teaching at the University of Southern California (1957)(1958)(1959)(1960), he took a research position with the Northrop Corporation (1960)(1961)(1962)(1963) where he worked on culturing algae for life support in space vehicles.Dick's pivot to oceanography began in 1963 when he was recruited by the innovative and immensely influential John D. H. Strickland to join the new Food Chain Research Group (FCRG) at the Scripps Institution of Oceanography.Eppley remained with the FCRG throughout its existence, 1963-1989, as a Research Biologist, Lecturer, and de facto group leader after
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.148 | 0.093 |
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".