Evidence map›Paper›PMID 37853528›Full record

ArticleMedical anthropology quarterly2024

Naturalizing unnatural death in Los Angeles County jails.

Nicholas Shapiro, Terence Keel

Open access · hybridAbstract read
In one paragraph

Article in Medical anthropology quarterly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
8.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Biased and Biasing: The Hidden Bias Cascade and Bias Snowball Effects.Behavioral sciences (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. The Complexity of "Natural" Deaths Behind Bars.Academic forensic pathology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Nicholas ShapiroCarceral Ecologies, Institute for Society and Genetics, UCLA, Los Angeles, California, USA.ORCID 0000-0002-4348-5525
Terence KeelBioCritical Studies Lab, Department of African American Studies, Institute for Society and Genetics, UCLA, Los Angeles, California, USA.ORCID 0000-0001-7569-1385
Healthy African American Families II · USTata Institute for Genetics and Society · IN

Funding

A Comparative Study of Medical Examiner/Coroner Offices in the United StatesG13LM013930 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KEEL, TERENCE D · 2022 to 2024
$147k
NLM NIH HHS G13 LM013930
6 · The paper itself

Abstract

In this paper we use quantitative and qualitative methods to examine how death investigations in Los Angeles County jails disproportionately naturalize death among Black and Latino incarcerated people. Our study is based on an assessment of 58 autopsies, coroner investigator narratives, and toxicology reports produced between 2009 and 2018. We found that the Medical Examiner frequently arrived at natural or undetermined death determinations that minimized the culpability of carceral staff for loss of life that occurred within county jail. In our dataset, Black people were disproportionately classified as natural. Undetermined deaths were almost exclusively Latino. More than 75% of the cases in our study were deaths that occurred before standing trial. Our findings reveal how biomedical knowledge about incarcerated Black and Latino people is used to erase the life-diminishing effects of punishment, neglect, and maltreatment that are central to the project of mass incarceration.

Indexed as

DeathIncarcerationJailsAnthropology, MedicalBlack or African AmericanHispanic or LatinoHumansLos Angeles

Identifiers

PMID37853528
PMCPMC10922010
OpenAlexW4387765552

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.