Moving on by settling down? Ambiguities of urban housing and home in post-genocide Rwanda
Bibliographic record
Abstract
What can Rwandans’ post-genocide experiences of house and home tell us about how people live with histories of violence? Based on long-term ethnographic fieldwork in the university town of Butare, I argue that educated town residents’ relationships to ‘home’ are a nexus of the genocide’s legacy, of the contingencies of lives not lived, and of post-genocide politics. Drawing from participant observation and interviews, I delineate four relationships between home, temporality, and genocide to elicit the broader tension between settlement and what remains unsettled in the wake of violence. Central to this tension is how seemingly private talk of home offers a powerful critique of the former colonizer, of the actors who planned the genocide, and of post-genocide social and political conditions. Butare residents’ relationships to house and home thus uncover the inherent contradictions in the idea that people ‘move on’ from violence by ‘settling down.’
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".