Impact of homicide and traffic crashes on life expectancy in the largest Latin American country
Bibliographic record
Abstract
BACKGROUND: Brazil and Canada are on opposite poles of the spectrum for life expectancy in America. We identified factors underlying Brazil's lower life expectancy relative to Canada, with emphasis on the role of injury compared with other major causes. METHODS: We computed life expectancy at birth in Brazil and Canada in 2010 and identified the ages and causes of death responsible for the gap between both countries. The main outcome measure was the contribution of homicide and traffic accidents to the gap, compared with other causes of death. RESULTS: Relative to Canada, life expectancy was lower in Brazil by 8.2 years (men) and 5.2 years (women). Injury lowered life expectancy of men in Brazil by 2.2 years, or more than a quarter of the gap, mainly due to homicide and traffic accidents between ages 20 and 64 years. Homicide and traffic accidents contributed more than all circulatory diseases combined. In women, circulatory disease was the most important cause of lower life expectancy. CONCLUSIONS: In 2010, homicides and traffic accidents were the principal cause for short life expectancy of men in Brazil. Improving life expectancy in Brazil requires addressing the root causes of inequalities that drive illicit drug trade, violence and accidents.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".