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Record W4395086042 · doi:10.1017/9781009243728.008

Women and Machines in the Factory

2024· book-chapter· en· W4395086042 on OpenAlexaff
Ellen Balka, Ina Wagner, Anne Weibert, Volker Wulf

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFactory (object-oriented programming)Computer scienceManufacturing engineeringEngineeringProgramming language

Abstract

fetched live from OpenAlex

Factory work was and still is strongly connected with images of masculinity and the ideal worker being a man. The chapter starts out with historical studies of women’s work in the electronics industry, meatpacking, and the automotive industry. The findings from these studies point to theories of the gendered organization: the gender subtext in organizations and its ‘omnirelevance’, the institutional nature of gendered notions of skill and performance, as well as the diversity and persistence of masculinities. Images of masculinity, one of the main barriers to ‘undoing gender’ in modern industrial settings, are particularly dominant in male-dominated industrial companies – in construction, mining, oil and gas – which continue resisting acceptance of women workers and women engineers, although new technologies have reduced the physical strains of the work together with a shift of skills requirements. The chapter also discusses feminist research on the gender dynamics of globalization of production and household relations based on cases studies in East Asian countries. It concludes with design considerations for the modern industrial workplace.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.956
Threshold uncertainty score0.840

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 studies0.0000.000
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 head0.038
GPT teacher head0.189
Teacher spread0.151 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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