MétaCan
Menu
Back to cohort
Record W4410414777 · doi:10.1177/02637758251334335

Women and the coloniality of urban atmospheres of terror in Rio de Janeiro’s favelas

2025· article· en· W4410414777 on OpenAlexfundno aff
Anne‐Marie Veillette

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et Culture
KeywordsPolitical scienceGeography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.263
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueEnvironment and Planning D Society and SpaceSame topicAnthropological Studies and InsightsFrench-language works237,207