Bibliographic record
Abstract
The Northern Mariner / Le marin du nord Kennedy and his surviving crewmen.Kennedy was later awarded a Navy and Marine Corps Medal (the highest non-combat USN decoration for heroism), and continued to serve in the USN until he was medically discharged due to injuries he suffered when PT 109 was sunk.Kennedy's political career took off in 1947 when he entered the House of Representatives (Boston) and by 1953 he was a Senator for Massachusetts.When he became President in 1960, his wartime exploits came to the fore and a search began for his wartime saviour.Eventually, Evans and the Solomon Islanders were located and Evans and Kevu later visited Kennedy in the White House in 1961-62.The men who saved Kennedy and his crew were later immortalised when the movie PT 109 was released in June 1963.Kennedy also met with the commanding officer of Amagiri, Lieutenant Commander Kohei Hanami during a visit to Japan in 1962.The book, however, does not just cover the lives of Kennedy and Evans or the tactical events involved in the rescue of Kennedy and his crew.Woven throughout the book is the higher-level story of Australian and American relations from 1941 onwards.Before Pearl Harbor, the average Australian knew little about the United States other than imported vehicles and what they saw in the movie theatres.This was all to change in early 1942, when the first US soldiers arrived in Brisbane in a troop convoy diverted from the Philippines.The men were the first of many thousands of US service personnel who arrived in Australia from 1942-45 and changed the strategic focus of the country from Great Britain to the United States.Author Brett Mason, a former Australian Senator, diplomat and academic, has done an excellent job detailing the shift in Australian foreign policy through the lens of the fighting in the Solomon Islands and New Guinea, where the Australian and American forces fought side by side to defeat the Imperial Japanese forces.That road was not always smooth, either tactically or strategically, but it was a path that both nations willingly chose.My only concern with the book was the vague or poor use of some military and naval terminology, but overall it is a very good read, especially for those seeking a better understating of the background of the creation of the Australian-United States strategic alliance.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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".