Incarceration and racism in the Americas: Notes for future internationally comparative research on racial inequality and imprisonment
Bibliographic record
Abstract
This study presents the first ever comparative regional portrait of racial inequality and incarceration across the Americas, using census data from Brazil, Cuba, Puerto Rico, and the United States mainland. While racism is known to pervade criminal justice across the US mainland, Latin American prisons remain understudied, with the entire region often construed as racially harmonious and uniformly “mixed” rather than racially plural or stratified. Our findings reveal consistent underrepresentation of white individuals and overrepresentation of Black individuals in all countries. Mixed-race individuals in Brazil, Cuba, and Puerto Rico experience higher incarceration rates than whites but lower rates than Blacks. These findings challenge the conception that the US mainland is unique in its historically entrenched profile of structural racism, while highlighting varying degrees of racial inequality internationally. Whereas Cuba and the US mainland display relatively higher levels of racial inequality in imprisonment, Puerto Rico and Brazil display relatively lower levels.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| 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".