Lethal Violence and Peripheral Youth Extermination in Brazil Amazon Region
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This work aims to discuss the homicide problem in the Brazilian Amazon region, based on the analysis of data collected by DATASUS, Sangari and Ipea Institute on homicides in Brazil, which were systematized within the framework of the “Amazonias: Knowledge and Changes” project, and by interviews analysis carried out with relatives of victims of the region. Based on these studies, which point out that the main victims of this type of violence are youth from the peripheries and using the notion of sociodiversity, we try to understand how violence against this youth maintained relation with neoliberalism set of governmental practices, as described by Michel Foucault in The Birth of Biopolitics. In this way, we think possible to provide a synthesis of the major problems of lethal violence and extermination of peripheral youth in the Amazon Region.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it