Leveraging body-worn camera footage to assess the effects of training on officer communication during traffic stops.

Nicholas P Camp, Rob Voigt, MarYam G Hamedani, Dan Jurafsky, Jennifer L Eberhardt

Abstract read

In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Nicholas P CampDepartment of Organizational Studies, The University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0001-9704-6133

Rob VoigtDepartment of Linguistics, Northwestern University, Evanston, IL 60208, USA.ORCID https://orcid.org/0000-0003-3743-0322

MarYam G HamedaniStanford SPARQ, Stanford University, Stanford, CA 94305, USA.ORCID https://orcid.org/0000-0001-6925-4947

Dan JurafskyDepartment of Linguistics, Stanford University, Stanford, CA 94305, USA.ORCID https://orcid.org/0000-0002-6459-7745

Jennifer L EberhardtStanford SPARQ, Stanford University, Stanford, CA 94305, USA.ORCID https://orcid.org/0000-0003-1687-8128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Can training police officers on how to best interact with the public actually improve their interactions with community members? This has been a challenging question to answer. Interpersonal aspects of policing are consequential but largely invisible in administrative records commonly used for evaluation. In this study, we offer a solution: body-worn camera footage captures police-community interactions and how they might change as a function of training. Using this

Indexed as

body camera footagecomputational linguisticsnatural language processingpolice interventionsprocedural justice

Identifiers

PMID39290439

DOI10.1093/pnasnexus/pgae359

PMCPMC11407283

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.