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Record W2518758778 · doi:10.7202/1037228ar

Prostitutes and Prophylaxis: Venereal Disease, Surveillance, and Discipline in the Canadian Army in Europe, 1939-1945

2016· article· en· W2518758778 on OpenAlexfundvenueaboutno aff
William John Pratt

Bibliographic record

VenueJournal of the Canadian Historical Association · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersUniversity of TorontoQueen's UniversityUniversity of CambridgeMcGill University
KeywordsDisciplineAgency (philosophy)Disease controlWorld War IIMilitary personnelMedicineCriminologyPolitical scienceLawPsychologySociologyEnvironmental healthSocial science

Abstract

fetched live from OpenAlex

The wastage of Canadian manpower due to venereal disease (VD) during World War II was an ongoing problem for the Canadian Army. Military authorities took both medical and disciplinary measures in attempt to reduce the number of soldiers that were kept from regular duties while under treatment. The study of the techniques employed to control sexual behaviour and infection places the Canadian Army in a new historical perspective as a modern institution which sought to establish medical surveillance and disciplinary control over soldiers’ bodies. This study also explores Canadian soldiers’ sexual behaviour overseas, showing their engagement in a broken system of regulated prostitution, and with European women who were coping with war’s destabilization and strain by participating in the sex trade. Agents of the Canadian Army overseas extended their disciplinary and surveillance functions from soldiers to their sexual partners. VD rates were low when formations were in combat, but rose to alarming rates when they were out of the line, suggesting that individual agency and sexual choice trumped the efforts of modern discipline.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.693

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0110.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.009
GPT teacher head0.205
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueJournal of the Canadian Historical AssociationSame topicCanadian Identity and HistoryFrench-language works237,207