Oral History Interview with LaVergne Thomas, September 4, 2006
Bibliographic record
Abstract
Then National Museum of the Pacific War presents an oral interview with LaVergne Thomas. Thomas was born in Louisville, Kentucky 31 March 1921. After graduating from high school in 1939 she entered nurse training, which she completed at St. Joseph’s Hospital in Houston, Texas in 1942. Joining the US Army Nurse Corps 7 December 1942 she entered the service as a second lieutenant at Randolph Field, Texas and was sent to Bowman Field, Kentucky for training as a flight nurse. She trained in C-47 aircraft that could hold eighteen patients. She boarded HMS Queen Elizabeth 1 February 1944 with other members of the 814th Medical Air Evacuation Transport Squadron and landed at Firth, Scotland. Her unit flew to various points in Europe with gasoline and supplies and returned with wounded soldiers. She treated German prisoners of war as they were being taken to England. She also treated American casualties, injured during the Battle of the Bulge. After a year of traveling between England and the Continent, Thomas began flying to the United States in C-54 aircraft, which would carry twenty-four patients. These flights took twenty-six hours with an overnight stop in Newfoundland. She continued making these flights until Germany surrendered. Thomas then returned to the United States and was discharged 1 October 1945.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.070 | 0.014 |
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".