The rhetoric of de-policing: Evaluating open-ended survey responses from police officers with machine learning-based structural topic modeling
January 2019 Journal of Criminal Justice
Scott M. Mourtgos , Ian T. Adams
Abstract
No abstract available
Summary
No summary available.
(AI-generated summary, v0, Unknown date)
Citation Information
Citations: 59 (as of September 2026)
Cite this work
APA
Scott M. Mourtgos, Ian T. Adams (2019). The rhetoric of de-policing: Evaluating open-ended survey responses from police officers with machine learning-based structural topic modeling. Journal of Criminal Justice. https://doi.org/10.1016/j.jcrimjus.2019.101627
BibTeX
@article{mourtgos2019,
title = {The rhetoric of de-policing: Evaluating open-ended survey responses from police officers with machine learning-based structural topic modeling},
author = {Scott M. Mourtgos and Ian T. Adams},
journal = {Journal of Criminal Justice},
year = {2019},
doi = {10.1016/j.jcrimjus.2019.101627},
url = {https://doi.org/10.1016/j.jcrimjus.2019.101627}
} Related publications
- What do Laboratory False Confession Paradigms Measure? A Calibration Meta-Analysis Scott M. Mourtgos, Ian T. Adams · Journal of Quantitative Criminology · 2026
- Do Deceptive Interrogation Bans Affect Case Resolution? Evidence From Juvenile Justice Reforms Scott M. Mourtgos, Ian T. Adams · Crime & Delinquency · 2026
- Avertogenic deaths: how upstream justice decisions shape police lethal force Ian T. Adams, Matthew W. Logan, Scott M. Mourtgos · Theory and Society · 2026
- Seeing Confessions Clearly: Diagnosticity, Risk, and Signal Detection: A Signal-Detection Reappraisal of Interrogation Methods and Confession Evidence Scott M. Mourtgos, J. Pete Blair, Ian T. Adams · CrimRxiv · 2026