Managing Risk in a Culture of Rights: Providing Support and Treatment in Community-Based Settings for Persons with Intellectual Disabilities who Sexually Offend

People with intellectual disability who sexually offend commonly live in community-based settings since the closing of all institutions across the province of Ontario. Nine (n=9) front line staff who provide support to these individuals in three different settings (treatment setting, transitional setting, residential setting) were interviewed. Participants responded to 47 questions to explore how sex offenders with intellectual disability can be supported in the community to prevent re-offenses. Questions encompassed variables that included staff attitudes, various factors impacting support, structural components of the setting, quality of life and the good life, staff training, staff perspectives on treatment, and understanding of risk management. Three overlapping models that have been supported in the literature were used collectively for the basis of this research: The Good Lives Model (Ward & Gannon, 2006; Ward et al., 2007), the quality of life model (Felce & Perry, 1995), and variables associated with risk management. Results of this research showed how this population is being supported in the community with an emphasis on the following elements: positive and objective staff attitude, teamwork, clear rules and protocols, ongoing supervision, consistency, highly trained staff, and environments that promote quality of life. New concepts arose which suggested that all settings display an unequal balance of upholding human rights and managing risks when supporting this high-risk population. This highlights the need for comprehensive assessments in order to match the offender to the proper setting and supports, using an integration of a Risk, Need, Responsivity model and the Good Lives model for offender rehabilitation and to reduce the likelihood of re-offenses.

Rehabilitation : beyond the risk paradigm

Providing a succinct summary and critique of the scientific approach to offender rehabilitation, this volume for students of criminology, sociology and clinical psychology gives a comprehensive evaluation of both the Risk-Need-Responsivity Model and the Good Lives Model." "Rehabilitation is a value-laden process involving a delicate balance of the needs and desires of clinicians, clients, the State and the public. Written by two internationally renowned academics in rehabilitation research, this book argues that intervention with offenders is not simply a matter of implementing the best therapeutic technology and leaving political and social debate to politicians and policy-makers.

The rehabilitation of offenders : reducing risk and promoting better lives

This article examines the nature of offender rehabilitation and briefly reviews the effectiveness of correctional interventions in reducing recidivism. It then outlines the two most prominent contemporary theories of offender rehabilitation: the Risk-Need-Responsivity Model and the Good Lives Model (GLM). Our aim is to introduce these two broad rehabilitation frameworks and analyse their practice implications. We conclude that the GLM can offer an alternative view of offender rehabilitation that seeks to help offenders live more fulfilling lives while also reducing risk.

L’exploration du modèle des vies saines auprès de détenus dans un milieu de réinsertion sociale encadré par un modèle de gestion du risque.

Rapport de stage présenté à la Faculté des arts et des sciences en vue de l'obtention du grade de Maîtrise (M. Sc.) en criminologie option intervention.

How to integrate the good lives model into treatment programs for sexual offending : an introduction and overview

The good lives model (GLM) represents a new theoretical framework informing sex offender treatment programs; however, substantial variation has been observed in terms of how GLM-related ideas and practices have been applied. Integrated appropriately, the GLM offers potential for improving outcomes of programs following a cognitive-behavioral therapy (CBT) approach and operating according to a narrow operationalization of risk, need, responsivity (RNR) principles. Conversely, misguided or otherwise poor integration could increase the very risk practitioners work to prevent and manage. The purpose of this article is to provide an introduction and overview on how to integrate the GLM into treatment using CBT and RNR. The authors describe clinical implications of the GLM as they relate to program aims and orientation, assessment and intervention planning, content, and delivery

A risk-averse optimization model for trading wind energy in a market environment under uncertainty

In this paper, a stochastic programming approach is proposed for trading wind energy in a market environment under uncertainty. Uncertainty in the energy market prices is the main cause of high volatility of profits achieved by power producers. The volatile and intermittent nature of wind energy represents another source of uncertainty. Hence, each uncertain parameter is modeled by scenarios, where each scenario represents a plausible realization of the uncertain parameters with an associated occurrence probability. Also, an appropriate risk measurement is considered. The proposed approach is applied on a realistic case study, based on a wind farm in Portugal. Finally, conclusions are duly drawn. (C) 2011 Elsevier Ltd. All rights reserved.

A retail supply chain risk assessment conceptual model

Supply chains are increasingly relying on information and communications technologies and in particular electronic commerce to facilitate transactions between supply chain partners. The adoption of these enabling technologies brings several enhancements to the conduct of business including gains in efficiency. However there are also drawbacks inherent in these technologies that include threats that are imposed on businesses that use them. This paper presents a study on retail supply chains and the risks and vulnerabilities that cooperating supply chain partners are exposed to when adopting these technologies. In particular, the paper discusses the various threats and vulnerabilities of retail supply and presents a conceptual model of such risks.

Risk-based maintenance model for offshore oil and gas pipelines:a case study

Offshore oil and gas pipelines are vulnerable to environment as any leak and burst in pipelines cause oil/gas spill resulting in huge negative Impacts on marine lives. Breakdown maintenance of these pipelines is also cost-intensive and time-consuming resulting in huge tangible and intangible loss to the pipeline operators. Pipelines health monitoring and integrity analysis have been researched a lot for successful pipeline operations and risk-based maintenance model is one of the outcomes of those researches. This study develops a risk-based maintenance model using a combined multiple-criteria decision-making and weight method for offshore oil and gas pipelines in Thailand with the active participation of experienced executives. The model's effectiveness has been demonstrated through real life application on oil and gas pipelines in the Gulf of Thailand. Practical implications. Risk-based inspection and maintenance methodology is particularly important for oil pipelines system, as any failure in the system will not only affect productivity negatively but also has tremendous negative environmental impact. The proposed model helps the pipelines operators to analyze the health of pipelines dynamically, to select specific inspection and maintenance method for specific section in line with its probability and severity of failure.

Le programme cognitif-comportemental au CJM-IU : l'effet du degré d'exposition au programme sur l'ampleur des troubles de comportement des adolescentes six mois après leur admission au CJM-IU

L’implantation de programmes probants dans les milieux d’intervention peut comporter son lot de difficultés pour les gestionnaires ainsi que les intervenants en contexte de réadaptation pour adolescents. En effet, les contraintes auxquelles peuvent être confrontés les milieux de pratique mènent parfois à la modification des programmes, ceci en vue de faciliter leur implantation. Il devient alors important de documenter ainsi qu’identifier l’effet des éléments associés à la fidélité d’implantation lorsque les programmes d’intervention sont évalués. En plus d’évaluer l’effet du degré d’exposition au programme cognitif-comportemental implanté dans les unités d’hébergement du Centre jeunesse de Montréal – Institut universitaire (CJM-IU) sur l’ampleur des troubles de comportement des adolescentes, ce mémoire propose une nouvelle piste de recherche. Puisque la recherche empirique ne permet pas encore d’identifier les conditions selon lesquelles il serait possible de modifier les programmes d’intervention qui sont adoptés dans le contexte de la pratique, cette étude propose d’élaborer une logique d’exposition au programme qui s’inspire des principes d’intervention efficace élaborés par Andrews et ses collègues (1990). Cette approche permettrait d’adapter le niveau d’intervention aux caractéristiques de la clientèle, et ce, tout en s’assurant de l’efficacité du programme cognitif-comportemental. L’échantillon de cette étude est donc constitué de 74 adolescentes hébergées au CJM-IU pour une durée de six mois. Les résultats indiquent d’abord que les activités du programme cognitif-comportemental ont été appliquées de façon plutôt irrégulière et bien en deçà de la fréquence initialement prévue, ce qui rend bien compte des difficultés à implanter des programmes en contexte de pratique. Les résultats suggèrent aussi une diminution de l’ampleur des troubles de comportement six mois après l’admission au CJM-IU pour les adolescentes qui étaient caractérisées par une ampleur des troubles de comportement plus marquée au moment de leur admission et qui ont complété un plus grand nombre d’auto-observations durant leur placement.

Do motor vehicle crashes arise from single or multiple unique risk processes? An inquiry into crash causes and modelling

Crashes at any particular transport network location consist of a chain of events arising from a multitude of potential causes and/or contributing factors whose nature is likely to reflect geometric characteristics of the road, spatial effects of the surrounding environment, and human behavioural factors. It is postulated that these potential contributing factors do not arise from the same underlying risk process, and thus should be explicitly modelled and understood. The state of the practice in road safety network management applies a safety performance function that represents a single risk process to explain crash variability across network sites. This study aims to elucidate the importance of differentiating among various underlying risk processes contributing to the observed crash count at any particular network location. To demonstrate the principle of this theoretical and corresponding methodological approach, the study explores engineering (e.g. segment length, speed limit) and unobserved spatial factors (e.g. climatic factors, presence of schools) as two explicit sources of crash contributing factors. A Bayesian Latent Class (BLC) analysis is used to explore these two sources and to incorporate prior information about their contribution to crash occurrence. The methodology is applied to the state controlled roads in Queensland, Australia and the results are compared with the traditional Negative Binomial (NB) model. A comparison of goodness of fit measures indicates that the model with a double risk process outperforms the single risk process NB model, and thus indicating the need for further research to capture all the three crash generation processes into the SPFs.

Anticipating future risk in social-ecological systems using fuzzy cognitive mapping: the case of wildfire in the Chiquitania, Bolivia

Understanding complex social-ecological systems, and anticipating how they may respond to rapid change, requires an approach that incorporates environmental, social, economic, and policy factors, usually in a context of fragmented data availability. We employed fuzzy cognitive mapping (FCM) to integrate these factors in the assessment of future wildfire risk in the Chiquitania region, Bolivia. In this region, dealing with wildfires is becoming increasingly challenging due to reinforcing feedbacks between multiple drivers. We conducted semi-structured interviews and constructed different FCMs in focus groups to understand the regional dynamics of wildfire from diverse perspectives. We used FCM modelling to evaluate possible adaptation scenarios in the context of future drier climatic conditions. Scenarios also considered possible failure to respond in time to the emergent risk. This approach proved of great potential to support decision-making for risk management. It helped identify key forcing variables and generate insights into potential risks and trade-offs of different strategies. All scenarios showed increased wildfire risk in the event of more droughts. The ‘Hands-off’ scenario resulted in amplified impacts driven by intensifying trends, affecting particularly the agricultural production. The ‘Fire management’ scenario, which adopted a bottom-up approach to improve controlled burning, showed less trade-offs between wildfire risk reduction and production compared to the ‘Fire suppression’ scenario. Findings highlighted the importance of considering strategies that involve all actors who use fire, and the need to nest these strategies for a more systemic approach to manage wildfire risk. The FCM model could be used as a decision-support tool and serve as a ‘boundary object’ to facilitate collaboration and integration of different forms of knowledge and perceptions of fire in the region. This approach has also the potential to support decisions in other dynamic frontier landscapes around the world that are facing increased risk of large wildfires.