Absence of malice: Constructing the female sex offender

It could be argued that all crimes have a general moral basis, condemned as ‘wrong’ or ‘bad’ in the society in which they are proscribed, however, there are a specific group of offences in modern democratic nations which bear the brunt of the label, crimes against morality. Included within this group are offences related to prostitution and pornography, homosexuality and incest, as well as child sexual abuse. While the places where sex and morality meet have shifted over time, these two concepts continue to form the basis of much criminal legislation and associated criminal justice responses. Offenders of sexual mores are positioned as the reviled corruptors of innocent children, the purveyors of disease, an indictment on the breakdown of the family and/or the secularisation of society, and a corruptive force (Davidson 2008, Kincaid 1998). Other types of offending may divide public and political opinion, but the consensus on sex crimes appears constant.

Anonymity and one-way authentication in key exchange protocols

Key establishment is a crucial cryptographic primitive for building secure communication channels between two parties in a network. It has been studied extensively in theory and widely deployed in practice. In the research literature a typical protocol in the public-key setting aims for key secrecy and mutual authentication. However, there are many important practical scenarios where mutual authentication is undesirable, such as in anonymity networks like Tor, or is difficult to achieve due to insufficient public-key infrastructure at the user level, as is the case on the Internet today. In this work we are concerned with the scenario where two parties establish a private shared session key, but only one party authenticates to the other; in fact, the unauthenticated party may wish to have strong anonymity guarantees. We present a desirable set of security, authentication, and anonymity goals for this setting and develop a model which captures these properties. Our approach allows for clients to choose among different levels of authentication. We also describe an attack on a previous protocol of Øverlier and Syverson, and present a new, efficient key exchange protocol that provides one-way authentication and anonymity.

Roll the dice, rational agent : should extra-curial punishment mitigate an offender's sentence?

It was rugby league State of Origin night 2008 and a group of adults had descended upon a house in Eagleby, Brisbane to have some drinks and to celebrate the game. At 11pm that evening, Shane Thomas Davidson entered the bedroom of the homeowner’s 10-year-old son, TC. Davidson approached the bed and began to massage the boy’s penis under his clothing, which caused TC to wake. Davidson stated, ‘Show me how big your willy is and I’ll show you how big mine is’. TC refused the request and after a small period of time, left the bedroom and told his father what had happened...

What are the offence and offender risk factors for Indigenous repeat drink drivers in Queensland?

In Australia and internationally, there is scant information about Indigenous repeat drink drivers. The aim was to identify the risk factors associated with repeat offending. De-identified data on drink driving convictions by offenders identifying as Indigenous in Queensland between 2006 and 2010 were examined. A range of univariate analyses were used to compare first time and repeat offenders on gender, age, court location and region (based on the accessibility/remoteness index of Australia), blood alcohol concentration and sentencing severity. Multivariate logistic regression adjusted for confounding variables. Convictions for repeat offenders were more likely from locations other than ‘major cities’ with the association strongest for courts in the ‘very remote’ region (OR=2.75, 2.06-3.76, p<.001). Indigenous offenders 40 years or older were found to be at reduced risk in comparison to offenders aged 15-24 years (OR=0.68, 0.54-0.86, p=0.01). After controlling for confounding factors, gender, sentencing severity and blood alcohol concentration levels were not significantly associated with recidivism. The association of recidivism and remoteness is consistent with higher rates of alcohol-related transport accidents involving Indigenous Australians in isolated areas. This study provides a platform for future research and allows for early attempts to address the need for intervention to reduce Indigenous drink driving recidivism.

What are the offence and offender risk factors for Indigenous repeat drink drivers in Queensland Australia?

Background Road crashes contribute to high injury rates in Indigenous population in Aust, NZ, Canada and USA Alcohol one of the leading risk factors for road crashes: 31.5% Indigenous drivers in remote areas over 0.05mg/100ml, compared to 7.4 percent of non-Indigenous counterparts 17.5% Indigenous drivers in regional areas over 0.05mg/100ml compared to 3.8 percent of non-Indigenous counterparts Indigenous peoples are overrepresented in alcohol-related fatality rates, with this group 40% more likely to be killed

Towards equalisation of the impact of the penal fine : why the wealth of the offender was taken into account

Important changes in the legal regulation of the fine culminated in the implementation of the day‐fine system in many European countries during the twentieth century. These changes resulted from various late nineteenth century rationalities that considered the fine a justifiable punishment. Therefore, they supported extending its application by making it affordable for people on low incomes, which meant imprisonment for fine default could mostly be avoided without undermining the end of punishment. In this paper I investigate the historical development of the penal fine as well as the changing forms of this penalty in Western European criminal systems from the end of the eighteenth century until the late nineteenth century.

Understanding victim behaviour through offender behaviour typologies

Criminology has long sought to define and understand criminal motivations. There has, however, been less attention paid to the motivations involved in “everyday” thought and behaviour that may place someone in harm’s way. This doesn’t mean that victims are somehow motivated to become victims, but they may behave in such a way that victimisation happens as a matter of course. In the parlance of victimity, victim behaviour has often been referred to as either “victim facilitated” or “victim precipitated”. However, while some use these terms to explain the role of victim behaviour in relation to harm or loss, they actually do little to further our knowledge about the cognitive and behavioural milieu in which victimisation occurs. For example, a victim of homicide may precipitate the attack by violently confronting a partner (in retaliation for real or imagined wrongs). Another victim may facilitate domestic violence by not leaving their partner for financial reasons (“cannot afford to go out on my own”). Far from blaming the victim, understanding the motivational nature of victim behaviour can be accomplished by juxtaposing motivations for offender behaviour. This presentation applies offender motivations to victim behaviours, and presents anecdotal and research support for this approach.

The Steering Clear First Offender Drink Driving Program

This program is a research based, guided intervention program, designed for first time drink driving offenders which provides them with information and strategies to avoid drink driving in the future. It is an innovative program with the ability to tailor specific information to different individuals based on their level of risk of reoffending and help them develop their own plan to prevent them from drink driving. It aims to teach offenders the skills to implement their own plan when they determine they are at risk of future drink driving. The program provides information about: What a standard drink is and how blood alcohol content (BAC) is determined; How alcohol affects the body, reaction time, and decision making; The consequences of drink driving and what happens after a second offence; How to deal with risky drink driving situations in the future; How to build a personalised plan to avoid drink driving in the future, and; Levels of alcohol consumption and its impact on daily life. It also includes access to a mobile friendly web app that can be used anytime after completing the program. This is tool that will aid offenders in tracking their drinks and build on plans to prevent future drink driving.

An innovative online intervention: The Steering Clear First Offender Drink Driving Program

Drink driving remains a substantial public health issue warranting investigation. First offender drink drivers are seen to be less risky than repeat offenders, though the majority of first offenders report drink driving prior to detection, and many continue to drink drive following conviction. Few first offenders are offered treatment programs, and as such there is a need to address drink driving behaviour at this stage. A comprehensive approach including first offender treatment is needed to address the problem. Online interventions have demonstrated effectiveness in reducing risky behaviours such as harmful substance use. Such interventions allow for personalised tailored content to be delivered to individuals targeting specific mechanisms of behavioural change. This method also allows for targeting screening to ensure relevance of content on an individual level. However, there have been no research based online programs to date aimed at reducing repeat drink driving by first offenders. The Steering Clear First Offender Drink Driving Program is a self-guided, research based online program aimed at reducing recidivism by first time drink driving offenders. It includes a specialised web app to track drinks and build plans to prevent future drink driving. This allows for elongation of learning and encouragement of sustained behavioural change using self-monitoring after initial program completion. An outline of the program is discussed and the qualitative experience of the program on a sample of first offenders recruited at the time of court appearance is described.

There is 'hope for you yet': The female drug offender in sentencing discourse

Language and gender research has, in recent years, emphasised the importance of examining the context-specific ways in which people ‘do gender’ in different situations. In this paper, we explore how women involved in drug offences, specifically methamphetamine manufacture offences, are constructed within the language of the courts. Thirty-six sentencing transcripts from the New Zealand courts were examined to investigate how such offences, committed by women, are understood. In order to explore the representation of female offenders, a critical discourse analytic approach was adopted. Such an approach recognises that linguistic modes not only create and legitimise power inequalities but also embody a specific worldview. Three gendered discourses were identified in the sentencing texts: (i) the discourse of femininity, reinforcing the socially prescribed female role; (ii) the discourse of aberration, concerning women who breach traditional gender role expectations, and; (iii) the discourse of salvation, presenting aberrant women with an opportunity to become ‘good’ women once again. The findings illustrate the ways in which processes of gendering take place within a specific community of practice: the courtroom.

Some empirical evidence on offender time discount rates

The conventional wisdom is that offenders have very high discount rates not only with respect to income and fines but also with respect to time incarcerated. These rates are difficult to measure objectively and the usual approach is to ask subjects hypothetical questions and infer time preference from their answers. In this article, we propose estimating rates at which offenders discount time incarcerated by specifying their equilibrium plea, defined as the discount rate, which equates the time and expected time spent in jail following a guilty plea and a trial. Offenders are assumed to exhibit positive time preference and discount time spent in jail at a constant rate. Our choice of sample is interesting because the offenders are not on bail, punishment is not delayed and the offences are planned therefore conforming to Becker’s model of the decision to commit a crime. Contrary to the discussion in the literature, we do not find evidence of consistently high time discount rates, and therefore cannot unequivocally infer that the prison experience always results in low levels of specific deterrence.

Mining Negative Relevance Feedback for Information Filtering

It is a big challenge to clearly identify the boundary between positive and negative streams. Several attempts have used negative feedback to solve this challenge; however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive negative samples in order to reduce the space of negative documents. The second issue is how to decide noisy extracted features that should be updated based on the selected negative samples. This paper proposes a pattern mining based approach to select some offenders from the negative documents, where an offender can be used to reduce the side effects of noisy features. It also classifies extracted features (i.e., terms) into three categories: positive specific terms, general terms, and negative specific terms. In this way, multiple revising strategies can be used to update extracted features. An iterative learning algorithm is also proposed to implement this approach on RCV1, and substantial experiments show that the proposed approach achieves encouraging performance.

An effective model of using negative relevance feedback for information filtering

Over the years, people have often held the hypothesis that negative feedback should be very useful for largely improving the performance of information filtering systems; however, we have not obtained very effective models to support this hypothesis. This paper, proposes an effective model that use negative relevance feedback based on a pattern mining approach to improve extracted features. This study focuses on two main issues of using negative relevance feedback: the selection of constructive negative examples to reduce the space of negative examples; and the revision of existing features based on the selected negative examples. The former selects some offender documents, where offender documents are negative documents that are most likely to be classified in the positive group. The later groups the extracted features into three groups: the positive specific category, general category and negative specific category to easily update the weight. An iterative algorithm is also proposed to implement this approach on RCV1 data collections, and substantial experiments show that the proposed approach achieves encouraging performance.