Based in Japan, Fighting in Korea: Commonwealth Forces from Occupation to War, 1950-57
Bibliographic record
Abstract
Formed at the end of one war, only for it to be transformed into a fighting force by the start of another war, the British Commonwealth Occupation Force (BCOF) stationed in southern Honshu – in close proximity to Korea – was an important component of the Allied Occupation of Japan from 1945 to 1952. BCOF’s diverse, multifunctional, and multinational force administered Japan’s surrender, demilitarization, and democratization. At the outbreak of war on the Korean peninsula in June 1950, Commonwealth naval and air forces were almost immediately deployed to fight alongside US forces in Korea from their bases in Japan. Ground forces from Australia, the United Kingdom, New Zealand, and Canada were then committed to fight alongside South Korean and US forces from September 1950 onwards, in what became the British Commonwealth Force Korea (BCFK). Utilizing interviews with veterans and their families, the following article will reveal the importance of the Commonwealth’s use of BCOF’s military bases, barracks, maintenance workshops, and its extensive network of health, welfare, and recreational facilities, to argue that Japan effectively served as BCFK’s ‘forward base’ and ‘labour pool’ during the Korean War, providing the strategic and infrastructural foundations of the understudied Commonwealth contribution to the ‘emergency’ in Korea.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.009 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".