Prostitutes, Penicillin and Prophylaxis: Fighting Venereal Disease in the Commonwealth Division during the Korean War, 1950–1953
Bibliographic record
Abstract
Historically, venereal disease (VD) has represented a significant manpower problem for the armed forces and the Korean War (1950–53) was no exception. Amongst British, Australian, Canadian and New Zealand troops deployed to the Far East, rates of VD peaked at 387 cases per 1,000. Levels of infection far exceeded those recorded during the Second World War. Over the past several decades, historians have explored the intimate lives of fighting men throughout the twentieth century in great detail. Be that as it may, the Korean War has received little attention. This article represents the first analysis of the Commonwealth experience of VD. It examines how widespread the problem became, as well as the efforts to which officials went to reduce levels of infection. It also explores the reasons why venereal disease was so prevalent at this time and place, and why the Commonwealth Division, and the Canadians in particular, were so affected by it.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".