Professional Women as Perpetrators: A Conversation with Valérie, “Rwanda’s Voice of Death”
Bibliographic record
Abstract
The literature on women’s participation in genocide and related violence focuses on the actions of women who are either at the very top or at the very bottom of social hierarchies. Exceptional roles played by a select few elite women prosecuted at international criminal tribunals have been recognized. Scholars have also examined the motivations of ordinary women who are swayed by ethnocentric scapegoating or commit violence out of fear and coercion, including social and economic incentives. In-depth analyses of female perpetrators in the professionals category who, along with men in that category, serve as bridgemakers between commoners and leaders are scarce. With the exception of nurses, teachers, and secretaries involved in the Holocaust, the professionals category is gravely understudied in scholarship on perpetrators. This article begins to rectify this gap by examining the case of Valérie Bemeriki who, as a journalist for the Radio Télévision Libre des Mille Collines (RTLM), promoted the genocide against the Tutsi in Rwanda. Valérie is a perpetrator who was intimately close to many Rwandans, including her victims, through the radio, yet she is simultaneously unfamiliar as her motivations have not been widely disclosed. The article provides an interpretive analysis of my interview with Valérie, radio transcripts of Valérie’s hate speech obtained by the International Criminal Tribunal for Rwanda (ICTR), and Rwandan and international newspapers and secondary source materials concerning Valérie. The findings suggest that perpetrators in the professionals category convey a contradictory experience in their motivations during the violence and their grievances in the aftermath. While Valérie minimized her agency in the genocidal machine, emphasizing structural constraints, she actively distinguished herself from powerless commoners, including Rwandan women living in a deeply patriarchal society. The article portrays Valérie as a strategic professional who hoped to excel by catering to powerful political figures.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.022 | 0.014 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.002 | 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".