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ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh
LOGY (forthcoming 2019), https://papers.ssm.com/sol3/papers.cfm?abstract_id=3142405; Ralph C. Serin & Caleb D. Lloyd, Integration of the Risk Need, Responsivi (RNR) Model and Crime Desistance Perspective: Implications for Community Correctional Practice, 7 ADVANCING CORRECTIONS 37, 38 (2019). 15 EFTA0010
ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh
LOGY (forthcoming 2019), https://papers.ssm.com/sol3/papers.cfm?abstract_id=3142405; Ralph C. Serin & Caleb D. Lloyd, Integration of the Risk Need, Responsivi (RNR) Model and Crime Desistance Perspective: Implications for Community Correctional Practice, 7 ADVANCING CORRECTIONS 37, 38 (2019). 15 EFTA0006
ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh
LOGY (forthcoming 2019), https://papers.ssm.com/sol3/papers.cfm?abstract_id=3142405; Ralph C. Serin & Caleb D. Lloyd, Integration of the Risk Need, Responsivi (RNR) Model and Crime Desistance Perspective: Implications for Community Correctional Practice, 7 ADVANCING CORRECTIONS 37, 38 (2019). 15 EFTA0009
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