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Record W1854412978 · doi:10.1111/1467-8551.12057

Experiences of Women Elite Leaders Doing Gender: Intra‐gender Micro‐violence between Women

2014· article· en· W1854412978 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

VenueBritish Journal of Management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsEliteConceptualizationGender studiesGender relationsAggressionQualitative researchPsychologySocial psychologyMasculinityGender roleSociologyPolitical sciencePoliticsSocial science

Abstract

fetched live from OpenAlex

This paper responds to the dearth of research into women's negative intra‐gender relations and lack of understanding as to why and how these relations manifest. Through a qualitative study of women elite leaders' experiences in UK organizations, the research considers how gendered contexts, women doing gender well and differently simultaneously, intra‐gender competition and female misogyny may explain negative intra‐gender social relations between women. We consider micro‐aggression research and women's abjection and offer a unique conceptualization of intra‐gender micro‐violence with themes of disassociating, suppression of opportunity and abject appearance. The themes illustrate how the masculine symbolic order shapes and constrains women elite leaders' social relations with other women. We conclude that raising consciousness to intra‐gender micro‐violence between women is important as a means of disruption; to facilitate women and men's acceptance of intra‐gender differences between women; and to open up opportunities and possibilities for women in organizations.

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)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 science0.0010.000
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 head0.058
GPT teacher head0.277
Teacher spread0.220 · 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