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Record W2889864512 · doi:10.1111/gwao.12292

Women leaders, self‐body‐care and corporate moderate feminism: An (im)perfect place for feminism

2018· article· en· W2889864512 on OpenAlexaff
Sharon Mavin, Gina Grandy

Bibliographic record

VenueGender Work and Organization · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsFeminismGender studiesSociologyFutures contractCredibilityPolitical scienceLawBusiness

Abstract

fetched live from OpenAlex

This article offers self‐body‐care as an aspect of corporate moderate feminism and a manifestation of postfeminism for women leaders. It explains how postfeminism as a bodily practice surfaces through women leaders' body work and how women ‘top' leaders strategize to stabilize their credibility by identifying their own and other women' body work needs and the steps they take to meet these. Self‐body‐care extends understandings of body work as part of postfeminist governmentality and contributes to understandings of moderate feminism as that which deflects and reflects feminism and constrains and empowers subjects. As such self‐body‐care offers an (im)perfect space for disruption and for Gender and Organization Studies (GOS) scholars to pursue the implications and potential of postfeminism. We call for women elite leaders to be part of feminist futures and illustrate self‐body‐care as an aspect of corporate moderate feminism by highlighting complexity in the postfeminist thesis and reflexively re‐examining two of our previous published empirical studies of women ‘top' leaders.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.026
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.100
GPT teacher head0.277
Teacher spread0.177 · 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

Citations32
Published2018
Admission routes1
Has abstractyes

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