Mortality in Prisons: The Experience of the Bureau of Legal Medicine of Milan (Italy) (1993–2017)
Bibliographic record
Abstract
We undertook a retrospective analysis of deaths that took place in prisons in Milan between 1993 and 2017, by identifying cases from a total of 24,101 autopsies that were performed at the Section of Forensic Medicine of the University of Milan. From the archives of this institution, we found 227 autopsy reports relating to deaths that had taken place in one of Milan’s three detention facilities. These deaths were divided into two types: natural deaths ( n=135; 59.5%) and violent deaths ( n=92; 40.5%). The groups have different characteristics: while natural deaths mostly resulted from cardiovascular diseases, suicides were mainly the result of hanging. Further, people who died by suicide often had a history of psychiatric disease and/or drug abuse, and over a quarter of them had previous suicide attempts and/or had declared suicidal intentions. This study confirms the need for good quality healthcare services for prisoners, given that they remain a population at high risk of early death.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.017 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".