Oral History Interview with Gerry Porter, December 5, 2008
Bibliographic record
Abstract
The National Museum of the Pacific War presents an interview with Gerry Porter. Porter enlisted in the Navy in November of 1940. He completed Machinist School and was assigned to the USS West Virginia (BB-48), main engines M Division. He describes this job and the engine rooms he worked in. Porter talks some on the 3 weeks leading up to 7 December 1941, and the military being instructed to be on alert. The West Virginia was stationed in Pearl Harbor on the day of the attack. Porter discusses the events that occurred that morning both around and inside the ship. His ship was hit by 6 torpedoes that fateful day and sunk in Pearl Harbor. In October of 1942 he was assigned to the USS Bogue (CVE-9). They did convoy and submarine patrol in the Atlantic, operating out of Argentia, Newfoundland. They would convoy and meet the British halfway across the Atlantic, and he provides some detail of these convoy experiences. In July of 1943 he was rotated to the USS Langley (CVL-27), providing training for pilots. In January of 1944 they began operating with the Fleet and continued through April of 1945. By May of 1945 he was classified First Class Machinist???s Mate in the forward engine room. He was discharged in December of 1946.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.138 | 0.039 |
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".