Experiences of Women Elite Leaders Doing Gender: Intra‐gender Micro‐violence between Women
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".