Autoconstruction 2.0: Social Media Contestations of Racialized Violence in Complexo do Alemão
Bibliographic record
Abstract
Abstract Activists and journalists in Complexo do Alemão, Rio de Janeiro are using social media to intervene in the violence that shapes their communities. In this article I draw on critical urban and digital media theory to understand how militarized policing, the spatialization of race, and discourses of criminalization influence favela populations. I examine how these discursive and material violences are motivating residents to autoconstruct new digital communities. Through digital autoconstruction, journalists and activists are using social media technologies to safely direct mobility, to witness police violence, and to unsettle socio‐spatial imaginaries of endemic crime. As such, they are deploying digital practices to disrupt material, epistemological, and discursive mechanisms of social control. These actions show that digital technologies are always‐already embodied and take shape through material histories, such as those of racialized state violence. Journalists and activists in Complexo do Alemão ultimately demonstrate that targets of violence are not simply victims of digital and violent surveillance, but are active in creating new digital relationships of care across diverse scales, transforming these technologies in the process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".