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Record W2312939443 · doi:10.1086/ahr.113.1.163

JENNIFER A. STEPHEN. Pick One Intelligent Girl: Employability, Domesticity, and the Gendering of Canada's Welfare State, 1939-1947. (Studies in Gender and History, number 29.) Buffalo, N.Y.: University of Toronto Press. 2007. Pp. x, 299. Cloth $75.00, paper $29.95

2008· article· en· W2312939443 on OpenAlexaffabout
Joan Sangster

Bibliographic record

VenueThe American Historical Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsTrent University
Fundersnot available
KeywordsGender studiesWorld War IIDemobilizationState (computer science)Welfare stateMilitary serviceEmployabilityWelfareGirlSociologyPolitical scienceLawPsychologyPolitics

Abstract

fetched live from OpenAlex

North American feminist historians have a long-standing interest in accounts of the mobilization and demobilization of women during and after World War II, and for good reason. The significant influx of women into the labor force, as well as recruitment of women for the armed forces, saw dramatic changes in women's lives. In Canada, the labor force participation rate soared from twenty-four to thirty-three percent in the space of five years, yet some of these women were encouraged, enticed, or pushed out of the labor force after the war. At least, that is the story we know. As Jennifer A. Stephen shows, there is more we can learn from these crucial years, particularly about the ongoing gendering of the welfare state. Stephen's book builds on the core Canadian text on women and World War II by Ruth Roach Pierson, They're Still Women after All: The Second World War and Canadian Womanhood (1986), probing federal policy, as well as the thinking behind it, that shaped the management of the female labor force, or, as she stresses, the discourses of employability that undergirded the welfare state. Women, she argues, occupied a “natural” (and domesticized) space “outside rational economic space” (p. 31) in the minds of many policy makers who did not see female workers, first and foremost, as workers. During the war women's employment was regulated by the National Selective Service Women's Division, which in turn was influenced by the prevailing discourses about women's proper sexual/gender roles and their class position, as well as by emerging concepts of personnel and vocational placement. Even as women flooded the workforce, their role as marginal/temporary workers was reinforced: the dominant typology of an “ideal type” citizen worker—white and male—characterized the emerging welfare state and the labor market so intimately connected to it. Women's labor, Stephen concludes, was thus firmly governed by “policy discourses of masculinist state power” (p. 207).

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.121
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.264
Teacher spread0.215 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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
Published2008
Admission routes2
Has abstractyes

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