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Record W4253503606 · doi:10.1086/667197

Practice Mothers

2012· article· en· W4253503606 on OpenAlexaboutno aff
Jessaca B. Leinaweaver

Bibliographic record

VenueSigns · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsProfessionalizationScholarshipIdeologySociologyArgument (complex analysis)Gender studiesNarrativeWelfareSocial sciencePolitical scienceMedicineLawPolitics

Abstract

fetched live from OpenAlex

During the first half of the twentieth century, “practice houses,” or home management houses, thrived in home economics departments of land-grant universities around North America. Practice houses were domestic settings where young women could get hands-on training and experience in all the latest methods and technologies to efficiently manage domestic space and activity. They were also part of a larger trend of professionalization of home economic activities, intimately related to scientific rhetoric. This article discusses the Department of Home Economics’ practice house at the University of Manitoba in Winnipeg, Canada, where during the 1930s and 1940s, thirty-three “borrowed” children (from the city’s department of child welfare), referred to as practice babies, were tended to by a monthly rotation of women students who themselves were supervised by a house mother. The article situates the practice babies at the intersection of two historical trajectories, that of home economics itself and that of child-rearing advice, and draws attention to the ways in which the babies, and the women who cared for them, were mutually and jointly gendered. The narrative of the rise and fall of the practice babies in Winnipeg contributes to the literature on changing ideologies of scientific motherhood with an argument for feminist scholarship to develop a more ethnographically grounded linkage of children to women.

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)0.002
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.082
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.002
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0820.020

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 head0.064
GPT teacher head0.373
Teacher spread0.309 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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