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Record W2127412392 · doi:10.1177/0018726706066174

Cold War, chilly climate: Exploring the roots of gendered discourse in organization and management theory

2006· article· en· W2127412392 on OpenAlexaff
Mary Runté, Albert J. Mills

Bibliographic record

VenueHuman Relations · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsSaint Mary's UniversityUniversity of Lethbridge
Fundersnot available
KeywordsFemininityGender studiesContext (archaeology)Privilege (computing)MasculinitySociologyGender relationsDiversity (politics)Work (physics)Political scienceLawHistoryAnthropology

Abstract

fetched live from OpenAlex

Prior to the mid-1970s, gender was virtually absent from theories of management and organization (OMT), particularly within the North American context. In recent years, four strands of research have brought gender into management theory - gender and organizations, women in management, work-family conflict, and diversity management - but largely in ways that reinforce the masculinist project. With the exception of the more critical gender and organizations approach, gender continues to be discussed in OMT in ways that privilege masculinity and problematize femininity. This is particularly true of the work-family conflict literature and, to a lesser extent, the women in management literature. In this article, we are interested in the root of the gendered discourse within OMT. Through a feminist hermeneutic excavation of the development of modern OMT in post-war USA, we conclude that the continued masculinist project owes much to Cold War discourses of family and work

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)0.009
metaresearch head score (Gemma)0.007
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 score0.016
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0160.074
Scholarly communication0.0120.010
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.080
GPT teacher head0.288
Teacher spread0.208 · 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

Citations60
Published2006
Admission routes1
Has abstractyes

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