The Politics of Naming: Constructing Prostitutes and Regulating Women in Vancouver, 1939–45
Bibliographic record
Abstract
Drawing on records b>city autfiorities and middle-class reform organizations, reports by medical eyerfs, newspaper articles, and case studies, this thesis examines discourses about prostitution in Vancou\-er between 1934 and 1945.Such a~ analysis of the discourses shows itoaf women, whose behavior leaders of Vanzouver's middle-class pem5wd b be o ~~d e d &heir own imm 2ad s&.-ibarOs, were wasWctd as "Ime women" and pmth&s.The majority of those women had never worked as prostitutes but rather had transgressed social norms in other ways authorities felt threatened the social order.Through the defining and naming of those women as prostitutes, middleclass reformers .tried to regulate the m e n ' s behavior, bodies, and sexuality.At the same time, they sent a message to dl women, warning them not to leave the path of proper ~OfnanhOOd and not to disobey the bouadaries of sociaily a~ceptaMe femininity.The \s7omen, however, contested being named prustitutes and tried to negotiate d samerimes conkst these d a l cansiructions of themsefves.They represented tjremsefves as automanous women w-ha were free to choose the lifestyle they thought was best f w them.Thus, attempts to contrd the women's bodies and sexualities were someww tmsrtCCeSSfttE-Ordering society thmagb naming and repraenting is a powerful political tool.hwcx in this sense is not taken primmily as an entity that emanates downward from one groupy bat as urrecyalIy dispersed and negotiated by all parts of satiety, even those who kImg to the rncm margrnahzed -groups.The approach to historical inquiry and intqmtatim used herP: is drawn from pm&$rwtltralist and feminist themy.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.038 | 0.017 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".