Robert Israel “Bob” Jewett (1937–2022)
Bibliographic record
Abstract
Robert Israel "Bob" Jewett was born on December 14, 1937 in Providence, Rhode Island.His father, Abraham, had emigrated from Poland/Ukraine to Canada in 1921 and then to the USA in 1923, while his mother, Mame (Mary) née Katz, was born in Providence to parents from Russia.In 1946, Bob's family, including his older sister Rosalie, moved to Venice, California, a relocation partially motivated by Bob's problems with hay fever.Bob's much younger brother Phil was born in 1948.Bob attended the local public schools and was very interested, while at Venice High School, not only in physics and mathematics, but also animals and insects.In 1955, he started college at Caltech.There was no zoology major, so he focused on physics and mathematics, eventually the latter.In 1958, he received Honorable Mention for his individual performance in the nationwide Putnam competition in mathematics, helping the Caltech team to place third in the nation.Bob also stood out as a volleyball and track and field star.Bob graduated from Caltech in 1959 and went to the University of Oregon for graduate work in mathematics.Before this move, however, he worked for the summer at Caltech's Jet Propulsion Laboratory (JPL), in the coding theory section headed by Solomon Golomb.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 0.022 |
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".