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L'explication de la delinquance prolifique: L'importance de l'interaction entre le risque individuel et le risque contextuel.

机译:多产犯罪的解释:个体风险和情境风险之间相互作用的重要性。

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The purpose of this dissertation is to explain the prolific delinquency of certain offenders. We suggest that prolific delinquency is explained by the formation of a greater number of criminogenic situations. A criminogenic situation makes reference to situations wherein an offender may interact with a criminal opportunity in an environment which is conducive to crime. More precisely, a criminogenic situation is the moment when an offender faces this opportunity, but the crime has not yet been committed. The formation of criminogenic situations facilitated by the interaction and interdependence of three elements: criminal propensity, criminal social environment and deviant lifestyle. Thus, prolific delinquency cannot be adequately explained without accounting for the interaction between individual and contextual risk.;The overall objective of this dissertation is to demonstrate the importance of a model based on the interaction between individual and contextual risk to explain the prolific delinquency of some offenders. To accomplish this objective, one hundred and fifty-five offenders, under the responsibility of Services Correctionels du Quebec and four Centres Jeunesse, completed an evaluation through self-administered questionnaires.;The first objective of this study was to describe and compare, in Chapter Three, the delinquent nature of the offenders in our sample. Our results revealed that our sample of offenders is similar to that of other samples of delinquents; we found this with respect to the nature of their delinquency, and in particular, the volume, diversity and severity of their crimes. Indeed, the majority of the participants reported a small volume of crimes against a person and property. A small group distinguished themselves with a very high lambda (13.1% of offenders in the sample are responsible for 60.3 % of all crimes reported). Additionally, more than four out of five offenders reported having committed at least one crime against a person and one crime against property. Moreover, 50 % reported having committed crimes in at least four subcategories. Finally, although the offenders in our sample have a relatively low IGC (gravity scale) mean (median = 77), nearly 40 % of the offenders reported having committed at least one of the two most serious crimes identified in this study (discharging firearm and robbery).;The second specific objective was to explore, in Chapter four, the interaction between personal characteristics, social environment and the lifestyle of offenders which may lead to criminogenic situation. People with a higher propensity to crime tend to be surrounded by other criminalized people and have a more idle lifestyle. The criminalized social environment tends to also influence the lifestyle of these offenders. Thus, the interdependence between these three elements can lead to criminogenic situations and can create a climate conducive to the emergence of prolific delinquency.;The last specific objective of this dissertation, covered in Chapter Five, is to analyze the impact of factors leading to situational crime on the nature of the delinquency. Analyses of multiple linear regression and regression trees highlighted the contribution of personal characteristics, social environment and lifestyle in explaining the nature of the crime. On the one hand, regression analyses (additive models) suggest that all the elements leading to situational crime make a unique contribution to the explanation of delinquency. However, on the other hand, regression trees allowed us to better understand the interaction between the elements which underlie prolific delinquency. For example, a lower position on certain items may be offset by a higher position on others. Moreover, the accumulation of risk factors which lead to situational crime does not happen in a linear fashion. These conclusions are supported by the proportions of explained variance which were higher for the regression trees than for the multiple linear regressions.;In conclusion, focusing simply on one element (the person and their criminal propensity or the context and its opportunities) or on their combination in a simply additive manner does not represent the reality of criminal phenomenon. This dissertation therefore serves to highlight the importance of considering the interaction between the individual risk and the contextual risk in explaining prolific delinquency.;Keywords: individual risk; contextual risk; lifestyle; interaction effect; classification and regression trees.
机译:本文的目的是解释某些罪犯多产的犯罪行为。我们建议多产的犯罪可以通过形成更多的犯罪原因来解释。致犯罪情况是指犯罪者可能在有利于犯罪的环境中与犯罪机会互动的情况。更确切地说,犯罪现场是罪犯面对这一机会但尚未犯罪的时刻。犯罪倾向的形成是由三个因素的相互作用和相互依存促进的:犯罪倾向,犯罪社会环境和过时的生活方式。因此,如果不考虑个人风险和背景风险之间的相互作用,就不能充分解释多产的犯罪。本论文的总体目标是证明基于个人和背景风险之间的相互作用的模型对解释某些人的多产犯罪的重要性。罪犯。为了实现这一目标,在魁北克服务局和四个青少年中心的负责下,一百五十五名罪犯通过自我管理的问卷调查完成了评估。本研究的第一个目标是在本章中进行描述和比较。第三,我们样本中违法者的犯罪性质。我们的结果表明,我们的犯罪者样本与其他犯罪者样本相似;我们从犯罪的性质,尤其是犯罪的数量,多样性和严重程度方面发现了这一点。的确,大多数参与者报告了针对人身和财产的少量犯罪。一小群人以极高的λ值表现出众(样本中犯罪者的13.1%占报告的所有犯罪的60.3%)。此外,五分之四的犯罪者报告至少犯了一项针对人的罪行和一项侵犯财产罪。此外,有50%的人报告至少在四个子类别中犯了罪。最后,尽管我们样本中的犯罪者的IGC(重力等级)平均值相对较低(中位数= 77),但将近40%的犯罪者报告至少犯有本研究中确定的两种最严重的犯罪之一(释放火器和第二个具体目标是在第四章中探讨个人特征,社会环境和罪犯生活方式之间的相互作用,这些相互作用可能导致犯罪现场。犯罪倾向较高的人往往被其他被定罪的人所包围,并且生活方式更加闲散。被定为犯罪的社会环境也往往会影响这些罪犯的生活方式。因此,这三个要素之间的相互依存关系可能导致犯罪现场,并创造有利于多产犯罪发生的环境。本论文的最后一个具体目标,在第五章中讨论,是分析导致情况发生的因素的影响。犯罪性质的犯罪。多个线性回归和回归树的分析突出了个人特征,社会环境和生活方式在解释犯罪性质方面的贡献。一方面,回归分析(加性模型)表明,导致情境犯罪的所有因素对犯罪的解释做出了独特的贡献。但是,另一方面,回归树使我们能够更好地理解构成多犯罪的要素之间的相互作用。例如,某些项目上的较低位置可以被其他项目上的较高位置抵消。而且,导致情节犯罪的危险因素的积累不是线性发生的。这些结论得到了解释树方差的比例的支持,这些解释方差的比例对于回归树比对多元线性回归要高。;总而言之,只关注一个要素(人及其犯罪倾向或背景及其机会)或它们的以简单加法的方式结合并不代表犯罪现象的现实。因此,本论文旨在强调在解释多产犯罪时考虑个人风险和背景风险之间相互作用的重要性。上下文风险;生活方式;相互作用效应分类和回归树。

著录项

  • 作者

    Parent, Genevieve.;

  • 作者单位

    Universite de Montreal (Canada).;

  • 授予单位 Universite de Montreal (Canada).;
  • 学科 Sociology Criminology and Penology.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 211 p.
  • 总页数 211
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 肿瘤学;
  • 关键词

  • 入库时间 2022-08-17 11:41:40

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