• Korean Journal of Forensic Psychology
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• v.12 no.1
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• pp.15-33
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• 2021

In this study, we analyzed the difference in survival rates of those subject to electronic supervision of sex crimes based on the tracking of the period of recidivism and whether they were recidivism, and wanted to confirm the ability of the criminal record to predict recidivism. The criteria for recidivism were defined as cases where a conviction was confirmed due to a criminal case that occurred during the execution of electronic monitoring, and the date of recidivism was the date of occurrence of a case that was confirmed guilty. A total of 122 re-offenders were used in the analysis, and all of them were charged with electronic supervision for committing sex crimes. Studies have confirmed that the subjects commit the most recidivism within three years. In addition, in this study, the difference in survival rate between groups was analyzed after classifying mixed and sex recidivism cases. The number of members was 88 for the mixed recidivism group and 34 for the sex recidivism group. The analysis confirmed that both groups had the most recidivism within three years. There was a slight difference between the survival rate of the mixed recidivism group and the survival rate of the sex recidivism group. So the Log Rank Test and the Generalized Wilcoxon Test were conducted, but no statistically significant differences were identified(Wilcoxon statistic = 2.326, df = 1, p = .13, Log Rank = 1.345, df = 1, p = .25). Next, a Cox Regression analysis was performed to confirm the ability of the criminal record to predict recidivism. As a result, the number of criminal records(sex offense, violent crime) have been confirmed to be a good predictor of recidivism(X²=27.33, df=1, p< .001). As a result, the recidivism rate is gradually decreasing due to the implementation of the electronic monitoring. However, the duration of recidivism required by sex offenders in high-risk groups was found to be rather short. Currently, security measures against felons are being strengthened, so it is necessary to select high-risk groups. Therefore, based on the related studies, the characteristics of high-risk groups and the results of recidivism studies will be used as a basis for disposal within the criminal justice system, which will play a major role in granting objectivity.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.127-137
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• 2019

Recidivism prediction has been a subject of constant research by experts since the early 1970s. But it has become more important as committed crimes by recidivist steadily increase. Especially, in the 1990s, after the US and Canada adopted the 'Recidivism Risk Assessment Report' as a decisive criterion during trial and parole screening, research on recidivism prediction became more active. And in the same period, empirical studies on 'Recidivism Factors' were started even at Korea. Even though most recidivism prediction studies have so far focused on factors of recidivism or the accuracy of recidivism prediction, it is important to minimize the prediction misclassification cost, because recidivism prediction has an asymmetric error cost structure. In general, the cost of misrecognizing people who do not cause recidivism to cause recidivism is lower than the cost of incorrectly classifying people who would cause recidivism. Because the former increases only the additional monitoring costs, while the latter increases the amount of social, and economic costs. Therefore, in this paper, we propose an XGBoost(eXtream Gradient Boosting; XGB) based recidivism prediction model considering asymmetric error cost. In the first step of the model, XGB, being recognized as high performance ensemble method in the field of data mining, was applied. And the results of XGB were compared with various prediction models such as LOGIT(logistic regression analysis), DT(decision trees), ANN(artificial neural networks), and SVM(support vector machines). In the next step, the threshold is optimized to minimize the total misclassification cost, which is the weighted average of FNE(False Negative Error) and FPE(False Positive Error). To verify the usefulness of the model, the model was applied to a real recidivism prediction dataset. As a result, it was confirmed that the XGB model not only showed better prediction accuracy than other prediction models but also reduced the cost of misclassification most effectively.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.261-268
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• 2011

Juvenile crime has recently severe problems in quality as well as great increase in quantity. Especially compared to adult crime, juvenile crime has higher recidivism rate, which leads to strong doubt about the limitations of existing treatment. This is because the correctional institutions have a bad influence on the juvenile criminal, that is not the original purpose like correction and edification, but relearning of crime. To prevent the recidivism of juvenile crime needs an active level in terms of the return as sound citizens through correction beyond a simple level of maintaining order. Correction welfare is one of the most important measures to prevent the recidivism of juvenile crime. This study examines the notion, types and trend of juvenile crime, considers the concept and functions of correction welfare, and shows the prevention of recidivism of juvenile crime in perspective of correction welfare.

• Journal of the Society of Disaster Information
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• v.17 no.3
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• pp.535-542
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• 2021

Purpose: The purpose of this study is to prevent recidivism by recognizing the seriousness of recidivism against sexual offenders under the age of 13 and providing customized social adaptation services based on risk. Method: The study evaluate the efficiency of existing models and proposed model systems, and compare and review what features and operational differences exist from existing models. Result: The proposed model will collect data from related agencies on sexual violence offenders with a high risk of recidivism and classify them into three risk groups through risk algorithms to provide social adaptation services for each risk group. In addition, by monitoring primary social support matching data, storing and re-analyzing the results data to rematch social support services, the model differs from the existing model in preventing recidivism of sexual violence offenders from a long-term perspective. Conclusion: The proposed model of this study is meaningful in that it proposed the basic data of a response system to prevent recidivism from a long-term perspective of sexual offenders with the highest risk of recidivism by collecting and analyzing data on sexual offenders.

• The Journal of the Korea Contents Association
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• v.9 no.3
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• pp.312-319
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• 2009

The purpose of the paper is to offer an analysis of adult probationers and their recidivism and to suggest a policy to prevent recidivism. Various data analysis methods like frequency analysis, cross-tabulation analysis, regression analysis and logistic regression analysis were used to determine which of a second offense factors and recidivism included in initial data investigation could effectively explain or forecast reference values. This study focused on identifying relations associated with follow-up misconducts of adults under probation, and supposing that those factors could be associated with their second offenses. But it failed to yield so much significant findings. Nevertheless, this study has its own significance in a sense that it explored various risk factors and desires of adults under probation according to empirical data, and suggested formulated measures useful in practice to select and categorize appropriate treatments.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.233-247
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• 2021

To verify the mediating effects of parent attachment and self-resilience between childhood abuse trauma among Ex-offenders, prsent study collected data from 510 Ex- offenders who are given the housing support from Korea Rehabilitation Agency. SPSS 21.0, M-plus 7 programs were used to analysis the collecting data. As a result, there were positive correlation between childhood trauma and recidivism, and there were negative correlation among the recidivism, parent attachment, and self-resilience. Indirect affect of parnet attachment was found between childhood trauma and recidivism. Also, indirect affect of self-resilience was found between childhood trauma and recidivism among the Ex-offender. The implication, and limitation of this study are discussed.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.379-388
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• 2015

Due to misbehavior of blackconsumer, companies bear higher financial burden and innocent consumers are also damaged. This study identified the characteristics of blackconsumer and their differences by demographics. Also this study scrutinizes the effects of blackconsumer characteristics on retaliation intention and self-justification. The analyses results identified three factors composing blackconsumer, namely deliberation, recidivism and persistency. Ages of 50s and 40s showed higher in persistency and 40s and 30s are higher in recidivism. Also the results showed that deliberation has a significant influence on self-justification where as recidivism and persistency have on both retaliation intention and self-justification.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.119-128
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• 2014

This Study investigated the differences of risk assessment tool and personality assessment inventory (PAI) by recidivism types of juvenile delinquents, the psychological factors that have a influence of juvenile behaviors. 268 incipient Juvenile criminals who had committed crime in the areas of Seoul, were categorized in the three degree of recidivism types. The result showed the significant differences among risk assessment tool, such as family functioning risk factor, school risk factor, away-from-home risk factor, delinquent risk factor, and personal risk factor. PAI scores among the recidivism type showed the significant differences on SOM, DEP, PAR, SCZ, BOR, ANT, ALC, DRG, AGG, SUI, STR, NON, DOM, and WRM. The predictor variables explained a risk assessment tool were STR, ALC, DEP, DOM and WRM in PAI scales. And the interventions and preventions about juvenile delinquents discussed in psychological aspects.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.271-280
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• 2019

This study is to understand the effect of attachment and deviant peers on juvenile recidivism. The study analyzes a panel of Korean children, youths, and students who are in first year of middle school, and obtains the following results: First, juvenile recidivism increases by 1,5 times, from 180 people (10.2%) in third year of middle school to 278 people (15.7%) in third and last year of high school. 138 people stopped deviant behaviors (72.7%) and 42 people continued such acts (23.3%), showing that children come to stop deviant acts more than not. 236 people (85.6%) are found to have experienced engaging in deviant behaviors during third year of high school. Second, in terms of the effect of attachment and deviant peers in juvenile deviance, particularly attachment to parents, parental affection is found to have a negative (-) effect in third year of middle school, while parental supervision is found to have a negative (-) effect. In peer attachment, peer trust is found to havee positive (+) effects in third year of middle school and deviant peers are found to have positive (+) effects in third year of middle school and third year of high school. Third, in terms of the effect of youth attachment and deviant peers in juvenile recidivism, parental supervision has a negative (-) effect and deviant peers have a positive (+) effect. However, parental affection and peer attachment (friendship, trust) are not found to have an effect. Based on these results, the current study narrates suggestions for the practice of youth welfare.

• Clinical and Molecular Hepatology
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• v.24 no.4
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• pp.358-366
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• 2018

Severe acute alcoholic liver disease (SAAH) unresponsive to medical therapy shows one-year-mortality rates of up to 90%. Most transplant centers request six months of alcohol abstinence prior to transplantation, the so-called "6-month rule." This regulation is not based on strong evidence, repeatedly making it a topic of controversial debates. The majority of patients with SAAH will die before fulfilling the 6-month rule. Therefore, liver transplantation (LT) protocols are becoming more flexible towards the rigid abstinence regulation, especially concerning SAAH patients. We conducted a literature review regarding LT in SAAH and its outcomes, including post-transplant mortality and recidivism. We studied available data on PubMed from 2011 and onwards whilst including articles dealing with genetic components, medical therapy and historic snapshots of alcoholism. Emerging studies recommend LT in SAAH not responding to medical therapies even without realizing the required abstinence period, since the majority of these patients would die within 6 months. SAAH without response to medical therapy has one-year-mortality rates of up to 90%. The 6-month rule is not based on strong evidence and is repeatedly a topic of controversial debates. There is genetic linkage to alcoholism and medical therapy is not as effective as estimated, yet. The 6-months-regulation has not shown to evidently decrease the risk of recidivism post-LT, which is a lifesaving treatment in SAAH patients. Insisting on rigid sobriety rules results in excluding patients with a low risk of recidivism from being transplanted. Moreover, the genetic linkage of alcoholism must be recognized.