Cinematic Representations of Girls and War: The Displaced Protagonists of Johnny Mad Dog and War Witch
Bibliographic record
Abstract
For over a decade, I have been analyzing literature and film dealing with the general subject of women and war in Africa, reading the creative works in terms of the research being done by feminist geographers and other social scientists attempting to include gender as a category in the analysis of Africas civil wars. The purpose of this paper will be to extend that project to include two feature film narratives about girls who have been forced to leave their homes because of violent conflict: Johnny Mad Dog (2008), a French film made in Liberia and based on Immanuel Dongala's novel, and War Witch (2012), a Canadian film shot largely in the Democratic Republic of the Congo. Both films reflect the experiences of the over nine million persons displaced by the continents civil wars, and each confronts the differences that characterize displacement for girls as opposed to boys. My analysis will identify gender-specific elements in the narratives, considering them in relation to each other and to the research of social scientists such as Chris Coulter, Susan McKay, and Dyan Mazurana, whose scholarship focuses on girls in conflict zones.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".