Low-intensity community supervision for low-risk offenders: a randomized, controlled trial
By G. Barnes, Lindsay Ahlman, Charlotte Gill, Lawrence W. Sherman, E. Kurtz, Robert Malvestuto. 2010
61 citations recorded by the source corpus.
Subfields: Clinical Psychology, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
- Justin Bleich
- Madars Virza
- Karthik Dinakar
- Chelsea Barabas
- Joichi Ito
- Jordan M. Hyatt
- Jonathan L. Zittrain
- Richard A. Berk
In Sociology and Political Science
- Richard A. Berk
- G. Barnes
- Justin Bleich
- Jordan M. Hyatt
- Madars Virza
- Karthik Dinakar
- Chelsea Barabas
- Joichi Ito
Citations in the corpus
- Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment (2017, background): “For example, a randomizedcontrolled trial in Philadelphia found that community-based low intensity supervision program of low-risk offenders was more effective than high-intensity law-enforcement supervision in reducing new criminal activity of the offenders [6].”
- An Experimental Evaluation of the Impact of Intensive Supervision on the Recidivism of High-Risk Probationers (2017, methodology): “No significant differences in arrest rates were found after 12 months; 16% of the control group and 15% of the treatment group were charged with a new offense (p = .593; Barnes et al., 2010).”
- Forecasts of Violence to Inform Sentencing Decisions (2013, background): “One might ordinarily apply a tree-based form of machine learning already shown to be effective in related circumstances (Barnes et al. 2010; Berk et al. 2005, 2006, 2009).”