Narratives of women in politics in Zimbabwe’s recent past: the case of Joice Mujuru and Grace Mugabe
Bibliographic record
Abstract
This study analyses media narratives of Joice Mujuru’s fall from Zimbabwe’s political hierarchy and Grace Mugabe’s speeches during the “Meet the People” rallies that were held in Zimbabwe’s ten political provinces between 2015 and 2017. Media texts about Joice Mujuru’s political demise are analysed as reproductions of gender stereotypes used to justify women’s marginalisation in politics, while Grace Mugabe’s speeches are read as political performances of her power(lessness) as the wife of the then president (the late Robert Mugabe) and leader of the Zimbabwe African National Union – Patriotic Front (ZANU-PF)’s Women’s League. Drawing on ideas of female political representation, this paper discusses representations of the political experiences of Joice Mujuru and Grace Mugabe between 2014 and 2018 to highlight the gendered aspects of politics, and explores whether women’s presence in political leadership in Zimbabwe translates into substantive representation of women.
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How this classification was reachedexpand
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".