Voting with their Feet: Women’s Flight to Harare during Zimbabwe’s Liberation War1
Bibliographic record
Abstract
This paper explores the experiences of Zimbabwean rural women forced to relocate to the city of Harare during the liberation war in the 1970s. Women found themselves squeezed between a repressive colonial government and coercive guerrilla armies. The accompanying war-induced violence from both sides of the combattants led to massive displacements as women and their families fled from the war-torn areas to urban centres like Harare. Within women’s stories of flight are reflections of gender relations in a war fought largely in the rural areas where women were the majority of the dwellers, and a war in which most of the combattants were male. Gender relations thus informed, and were influenced by the war. Women’s narratives also reveal the socio-economic and emotional costs of the war hardly acknowledged in the nationalist discourse about the liberation war. At the centre of these accounts is a revelation of resistance, courage, fear, and above all agency by rural women under very difficult circumstances.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.039 | 0.015 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".