"Pedagogy of Conversion" in the Urban Margins: Pacification, Education, and the Struggle for Control in a Rio de Janeiro Favela
Bibliographic record
Abstract
In this article, I make an empirical contribution to the scholarship on education in urban settings that are affected by militarized policing and illicit drug markets. I offer insights into the role education played in the Pacifying Police Units (UPPs), a pacification project in Rio de Janeiro favelas. Rio State authorities began to install UPPs in 2008 in an effort to regain control over favelas dominated by drug-trafficking groups and marked by high levels of violence. In this paper, which is based on an ethnographic case study I conducted between 2008 and 2015, I discuss the UPPs' struggle to gain the allegiance of favela residents. I focus in particular on police involvement in public primary schools and nonformal education geared toward young children living in the favelas that were part of the UPP project. Looking at one primary question—How does pacification influence education and what does this mean for local perceptions of police?—I reveal how the UPPs brought on the further militarization of education in Rio's favelas and show how paradoxical police practices in the urban margins may actually perpetuate the violence they are intended to combat.
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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 | 0.002 | 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 | 0.011 | 0.023 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".