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Record W3164721628 · doi:10.1111/1468-0424.12526

White Suits and Kangaroo Kills: Making Men's Careers in American Nursing

2021· article· en· W3164721628 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGender & History · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsMcGill University
Fundersnot available
KeywordsMasculinityWhite (mutation)Gender studiesCareer pathField (mathematics)SociologyNursingMedicineManagement

Abstract

fetched live from OpenAlex

Abstract This article explores nursing as an emerging career path for men in interwar America. As women reached historic concentrations within the profession, it examines how early gradutes of the Pennsylvania Hospital School of Nursing for Men created a distinct form of gendered professionalism that allowed them to enter an otherwise female‐dominated field. Drawing on school records and oral histories, it argues that men's training simultaneously integrated the feminised aspects of caring labour while upholding strict codes of masculinity that also excluded gay men and men of colour. In contrast to the few existing studies of men in traditionally female fields throughout the twentieth century, this case thus more closely resembles histories of women in male‐dominated professions, in which participants calibrated their presentations of gender to appease both gender and professional norms.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.865
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.273
Teacher spread0.192 · 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