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Information Journal Paper

Title

The Function of Methods for Prediction of Recidivism in Grant of Parole

Pages

  9-36

Abstract

 The prediction of recidivism is a part of criminological studies which has many functions in the juristic decision about the convicted. One of the most important decisions deals with Parole and is based on the hypothesis that the convicted will have a due attitude during his conviction and will not commit any criminal offence after early release from prison. Several studies have been conducted about such clause which might be divided into three generations: First generation methods that were mostly intuitional and clinical; second generation methods, which included clinical methods, improved by actuarial studies and static actuarial methods, and third generation methods which considered risk/need and static/dynamic factors. Hence, standard tables like SFS and LSI-R are provided which are applied to grant Parole. In Iran, according to the second clause of Article 58 of the Islamic Penal Code (enacted in 2013) and its precedence in older criminal codes, prediction of non-commission of crime is one of the conditions of granting Parole which is a legal context to apply prediction studies in Parole. Yet, juridical context is not provided. The exact definition of factors needs longitudinal research with regard to successful studies in other countries and localising them.

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    APA: Copy

    Gholami, Hussein, & Barzegar, Mehri. (2018). The Function of Methods for Prediction of Recidivism in Grant of Parole. CRIMINAL LAW RESEARCH, 7(24 ), 9-36. SID. https://sid.ir/paper/266533/en

    Vancouver: Copy

    Gholami Hussein, Barzegar Mehri. The Function of Methods for Prediction of Recidivism in Grant of Parole. CRIMINAL LAW RESEARCH[Internet]. 2018;7(24 ):9-36. Available from: https://sid.ir/paper/266533/en

    IEEE: Copy

    Hussein Gholami, and Mehri Barzegar, “The Function of Methods for Prediction of Recidivism in Grant of Parole,” CRIMINAL LAW RESEARCH, vol. 7, no. 24 , pp. 9–36, 2018, [Online]. Available: https://sid.ir/paper/266533/en

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