Gender Gymnastics in CEO succession: Masculinities, Femininities and Legitimacy
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.
Bibliographic record
Abstract
This article theorizes how CEOs ‘do gender’ in management succession and how this impacts their legitimacy as successor CEOs. Drawing on the analysis of seven incumbent-successor dyads in a family business setting, we document the multiple masculine (entrepreneurial, authoritarian and paternalistic) and feminine (relational, individualized and maternal) gender identities that both men and women CEO successors enact. We contribute to the CEO succession literature by revealing the different ways that CEOs can ‘do masculinity’ in their pursuit of legitimacy and also expose how CEO successors ‘do femininity’. In particular, we show how men and women CEOs enact relational femininity to garner stakeholders’ support as well as build alliances to temper change initiatives. We contribute to the gender and organization literature by providing an understanding of how certain ways of doing gender in organizations facilitate or hinder the legitimacy of CEO successors.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it