Factors for Predicting Parole Success
By Howard G. Borden. 1928
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Cynthia Rudin
- Berk Ustun
- Jiaming Zeng
- Richard A. Berk
- Aaron Roth
- Michael Kearns
- Justin Bleich
- G. Barnes
Citations in the corpus
- Fairness in Criminal Justice Risk Assessments: The State of the Art (2017, background): “First, criminal justice risk assessments have been undertaken in the United States since the 1920s (Borden 1928; Burgess 1928).”
- Interpretable classification models for recidivism prediction (2015, methodology): “The final set of input variables represents known risk factors (Bushway and Piehl 2007, Crow 2008) and have been used in risk assessment tools since 1928 (see, e.g., Borden 1928, U.S. Sentencing Commission 2005, Berk et al. 2006, Baradaran 2013).”
- Using Regression Kernels to Forecast A Failure to Appear in Court (2014, background): “Conventional criminal justice risk assessments have their roots in parole decision-making dating back to the 1920s (Borden, 1928).”
- Asymmetric Loss Functions for Forecasting in Criminal Justice Settings (2011, background): “Much of the initial work was undertaken for parole prediction (Burgess 1928; Borden 1928), which later evolved into re-offending more generally (Glueck and Glueck 1950).”
- Balancing the Costs of Forecasting Errors in Parole Decisions (2010, background): “Since the 1920s, parole boards in the United States have tried to minimize both kinds of risks by constructing forecasts of how individuals will fare under supervision in the community and then using those forecasts to inform parole decisions (Borden, 1928; Burgess, 1928).”
- An impact assessment of machine learning risk forecasts on parole board decisions and recidivism (2017, background): “Risk assessments have been used to inform parole decisions in the United States since the 1920s (Burgess 1928; Borden 1928).”
- Forecasting murder within a population of probationers and parolees: a high stakes application of statistical learning (2009, background): “Work in the 1920s (Borden, 1928; Burgess, 1928) was often clinical in style.”
- Forecasts of Violence to Inform Sentencing Decisions (2013, background): “Behavioral forecasts have informed parole decisions in the United States since the 1920s (Borden 1928; Burgess 1928).”