My ship left without me in Singapore as Japanese approached
Bibliographic record
Abstract
Walter Leslie Hughes served as a Corporal in the RAF. He was in Singapore with 36 Squadron, one day when he was with six other men, they tried to return to the ship, when they discovered the Navy ship had sailed without them and had left them stranded. They tried to make their way to Johor, failed to do so and just carried on walking. They then met some of the Japanese invading troops and surrendered to them. They were all taken to a Prisoner of War camp being run by the Japanese in Singapore. During their time in the camp, they were put to work and a copy of a pay book was shown, the sons were not sure, what the pay consisted of, whether food rations or money. Water kept himself busy in camp, by compiling lists on scraps of paper he could get hold of. His prized possession was a bamboo fan that he obtained, and, on which, he wrote the names of many men who were confined in the camp with him. This fan he managed to bring home with him after the war. The fan was taken after the war to the Imperial War Museum, who put him in touch with an expert who interviewed him and compiled a folder, including the names on the fan, which has been instrumental in tracing relatives of deceased prisoners of war. This document has been filed away and is not on public show. After being freed from the camp, Walter was on HMS Implacable, which took him and the other freed prisoners to Vancouver. After the war, Walter worked as a Refrigeration Engineer until he retired.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.052 | 0.021 |
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".