Women and the coloniality of urban atmospheres of terror in Rio de Janeiro’s favelas
Bibliographic record
Abstract
This essay examines the urban atmospheres of terror in the favelas of Rio de Janeiro, Brazil, from the perspective of women residents. Drawing on two ethnographic projects conducted in various favelas in 2016 and 2019, I argue that terror, as an urban atmosphere, is deeply rooted in a long history of racialized and gendered violence, and that its persistence in the contemporary urban landscape is a consequence of the coloniality of power. The analysis begins by exploring the layers, textures, and complexities of urban atmospheres of terror, providing a deeper understanding of their racialized and gendered nature. It further examines the transformative power of the body in reshaping these urban atmospheres, focusing on how favela women cultivate alternative affective atmospheres within their communities. Drawing on Afrodiasporic and decolonial feminist thinking, I show how Afrodescendant women in the favelas resist and transform these atmospheres, creating spaces that challenge the coloniality of power and its spatial manifestations, such as urban borders. I conclude that a key aspect of favela women's urban politics and resistance to coloniality is rooted in the body and the affective dimensions of urban life.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".