Oral History Interview with Anthony Ganarelli, December 8, 2001
Bibliographic record
Abstract
The National Museum of the Pacific War presents an oral interview with Anthony Ganarelli. Ganarellis was born in Huntington, Pennsylvania in 1913 and enlisted in the Navy in May 1934. Upon completing basic training in Norfolk, Virginia he was assigned as a gunner’s mate to the USS Tennessee (BB-43), where he remained for seven years. He recalls that, when the Japanese attacked on the morning of December 7, 1941, the Tennessee was in Pearl Harbor, inboard of the USS Arizona (BB-39) and forward of the USS West Virginia (BB-48), and his battle station was turret four. He describes being surrounded by fires caused by explosions on the Arizona and West Virginia, which necessitated flooding all the ship’s magazines. He also remembers observing the devastation at Ford Island and Hickam Field. His next assignment was to the commissioning crew of the USS Indiana (BB-58), and he describes the Indiana’s role in supporting carrier groups at Iwo Jima, Tinian and Saipan. Ganarelli received a field commission and achieved the rank of lieutenant (junior grade) by the time he left the Indiana in April 1945. He retired in October 1959.
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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 | 0.008 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.062 | 0.010 |
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".