Elderly prisoners: a growing and forgotten group within correctional systems vulnerable to elder abuse

There are over 2.1 million people incarcerated in the nation's jails and prisons. Additionally, close to 600,000 prisoners are released annually into communities across the country. Many prisoners and those released from prisons are elderly. The purpose of this article is to examine the systemic abuse and neglect experienced by elderly prisoners while they are incarcerated and when they are released from prison. Most correctional systems have inadequate resources, processes, and personnel to manage the elderly population inside and outside of prisons. In addition to providing a definition of "elderly prisoner," two specific problems-prison health care and prisoner re-entry-are examined in the article. The article concludes with recommendations for both policy and research on how best we can further understand and address the multiple needs and concerns faced by elderly prisoners.     

Is Video-Game Playing a Risk Factor for Pathological Gambling in Australian Adolescents?

Very little research has been conducted to examine the relationship between video-game playing and gambling in adolescence. In this study, 2,669 adolescents aged 13–17 years were surveyed to obtained details of their involvement in gambling and video-game playing as well as a measure of pathological gambling (the DSM-IV-J). The results showed that, the frequency of video game playing was significantly related to pathological gambling, but that the effect size was very small and largely accounted for by the greater popularity of both activities amongst boys. There was some evidence for stronger associations between technologically similar activities, namely arcade video games and an interest in gaming machines, but other factors discussed in the paper may also account for this association. In summary, the findings suggested that playing video-games is unlikely to be a significant risk factor for pathological gambling during adolescence.

Risk filtering, ranking, and management framework using hierarchical holographic modeling.

This paper contributes a methodological framework to identify, prioritize, assess, and manage risk scenarios of a large-scale system. Qualitative screening of scenarios and classes of scenarios is appropriate initially, while quantitative assessments may be applied once the set of all scenarios (hundreds) has been prioritized in several phases. The eight-phase methodology is described in detail and is applied to operations other than war. The eight phases are as follows: Phase I, Scenario Identification-A hierarchical holographic model (HHM) is developed to describe the system's "as planned" or "success" scenario. Phase II, Scenario Filtering-The risk scenarios identified in Phase I are filtered according to the responsibilities and interests of the current system user. Phase III, Bi-Criteria Filtering and Ranking. Phase IV, Multi-Criteria Evaluation. Phase V, Quantitative Ranking-We continue to filter and rank scenarios based on quantitative and qualitative matrix scales of likelihood and consequence; and ordinal response to system resiliency, robustness, redundancy. Phase VI, Risk Management is performed, involving identification of management options for dealing with the filtered scenarios, and estimating the cost, performance benefits, and risk reduction of each. Phase VII, Safeguarding Against Missing Critical Items--We examine the performance of the options selected in Phase VI against the scenarios previously filtered out during Phases II to V. Phase VIII, Operational Feedback-We use the experience and information gained during application to refine the scenario filtering and decision processes in earlier phases. These eight phases reflect a philosophical approach rather than a mechanical methodology. In this philosophy, the filtering and ranking of discrete scenarios is viewed as a precursor to, rather than a substitute for, consideration of the totality of all risk scenarios.     

The morning after Canada’s Truth and Reconciliation Commission report: decolonisation through hybridity,ambivalence and alliance

Abstract

In Canada, 2015 will be remembered for the publication of the Truth and Reconciliation Commission Report which related to all Canadians the impacts of the Indian residential school system. The Commission invokes the United Nations Declaration on the Rights of Indigenous Peoples and uses the term reconciliation as a national strategy for moving forward. This paper employs an autoethnographic methodology and proposes that reconciliation might benefit by finding ways of confronting the Other within; I describe my reflections on a trip to the 2015 conference Learning at Intercultural Intersections at Thompson Rivers University. My social and cultural experiences as a Korean Canadian academic and administrator are challenged in order to consciously shift my own colonising mindset. Reconciliation in Canada will require significant personal, professional, institutional and sociocultural inquiry. What does it mean to discover the Other within? How do we walk with Indigenous peoples? How do educators come to be called ally by Indigenous peoples?     

Value-at-risk support vector machine: stability to outliers

A support vector machine (SVM) stable to data outliers is proposed in three closely related formulations, and relationships between those formulations are established. The SVM is based on the value-at-risk (VaR) measure, which discards a specified percentage of data viewed as outliers (extreme samples), and is referred to as \(\mathrm{VaR}\) -SVM. Computational experiments show that compared to the \(\nu \) -SVM, the VaR-SVM has a superior out-of-sample performance on datasets with outliers.     

Integrating resilience into floodplain restoration

This paper explores the role of geographic prioritization as a means of identifying lands that are especially well suited to restoration in the historical floodplain of western Oregon's Willamette River. The river and its floodplain have been extensively modified since 1850. As a result, the quantity and quality of river habitat have declined. The approach illustrated here explicitly links the potential for ecological benefits from restoration with the social and economic likelihood of restoration success. Using a consistent analytical framework, longitudinal patterns in selected biophysical and socioeconomic characteristics are quantified along the entire river length, from Eugene to Portland. Areas with high potential for ecological recovery and low socioeconomic constraints have the greatest potential for future restoration. Areas that combine low potential for ecological response with high demographic and economic costs are likely to be poor choices for restoration. Areas with high ecological potential and intermediate levels of socioeconomic constraints present intermediate opportunities for restoration. The paper identifies high priority locations for restoration, assuming the purposes of restoration are to increase river channel complexity, increase floodplain forest area, and increase natural water storage during floods. It concludes by discussing the role of visualizations in citizen involvement.