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Record W1990890473 · doi:10.7202/031064ar

Women Policing Women: A Patrol Woman in Montreal in the 1910s

2006· article· en· W1990890473 on OpenAlexvenueaboutno aff
Tamara Myers

Bibliographic record

VenueJournal of the Canadian Historical Association · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsImmoralityPrisonCriminologyImprisonmentResistance (ecology)Gender studiesSociologyDanceDisciplinePolitical scienceLawArtMoralityVisual arts

Abstract

fetched live from OpenAlex

The policewoman movement in England, Canada, and the United States begun in the 19th century with the prison reform movement. Just as separate prisons for women would protect them from the sexual danger of incarceration so would police matrons save the detained woman from the threat posed by male criminals and station officials. The next step in the evolution of the movement in the 1910s propelled women onto the streets as safety workers, patrol women, and policewomen, ostensibly to protect young women from lecherous males and to prevent the moral downfall of working-class women. The first generation of policewomen were a combination of social workers and cops, their duties being to chaperon the city's young women at dance halls, in parks and on urban streets. In 1918, Montreal hired its first policewomen to investigate women criminals. Using the files of one of the protective officers (Elizabeth Wand), Myers analyses the impact of this new disciplinary force. As a pioneer policewoman, whose job it was to patrol women and keep them safe from sexual danger and immorality, Wand expanded the meanings of crime, policing, and discipline. For this she encountered resistance from male officers and judges and from the policed women as well.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0570.016
Scholarly communication0.0060.002
Open science0.0030.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.006
GPT teacher head0.187
Teacher spread0.181 · 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

Citations5
Published2006
Admission routes2
Has abstractyes

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