Exploring the Concept of Moral Distress with Community-Based Researchers: An Australian Study

ABSTRACT

Community-based research (CBR) refers to an applied research methodology that is conducted in community settings in partnership between academic and nonacademic participants in research. This article reports on a series of in-depth interviews conducted with 11 Australian CBR researchers between 2008 and 2009. The interviews were designed to explore whether university-employed CBR researchers experience the particular phenomenon of “moral distress,” or feelings of helplessness to act in accordance with one's moral values due to systemic or institutional constraints. Study results found that the CBR researchers experienced unavoidable moral distress at varying levels of intensity related to blurred boundaries between settings, participants, and stakeholders. Based on the outcomes of this study, further research and enhanced professional development and training practices are recommended.     

Sexually violent predators and civil commitment laws

This article analyzes the civil commitment models for treating sexually violent predators (SVPs) and analyzes recent civil commitment laws. SVPs are commonly defined as sex offenders who are particularly predatory and repetitive in their sexually violent behavior. Data from policy literature, a survey to all states, and a review of law review Websites identify 16 states that have civil commitment statutes to address the problem and treatment of SVPs, four states that are in the process of passing such laws, six states that failed to enact proposed statutes, six states that lack SVP legislation, and 18 states that do not have relevant data available. The majority of such laws have created a false sense of safety because they address only convicted sex offenders. New approaches to the civil commitment of sexually violent predators have created multifaceted demands, controversy, ethical dilemmas, and learning opportunities. It is advised that research should be focused on the parameters of sexually violent behaviors, program flexibility, and treatment effectiveness.     

The use of multi-state capture-recapture models to address questions in evolutionary ecology

Multi-state capture-recapture models can be used to estimate survival rates in populations that are stratified by location or by state variables associated with individual animals. In populations stratified by location, movement probabilities can be estimated and used to test hypotheses relevant to population genetics and evolutionary ecology. When the interest is in state variables, these models permit estimation and testing of hypotheses about state-specific survival probabilities. If the state variable of interest is reproductive activity or success, then the multi-state modeling approach can be used to test hypotheses about life history trade-offs and a possible cost of reproduction.     

Missing discourses: concepts of joy and happiness in disability

This paper analyses a series of representations of disability and rehabilitation taken from research and policy settings in Australia. The purpose of the analysis is to (a) identify the presence or absence of discourses of happiness and joy in the contexts analysed and (b) to analyse the various treatments and interpretations of happiness and joy that are present. Through this analysis we show that while official professional and public discourses on disability and rehabilitation exhibit predominantly negative discursive patterns and features (i.e. aspirations to achieve ‘normality’ and a negative lexicon, such as disability, coping, rehabilitation, burden, abnormality, etc.) there are many other potentially positive and empowering discursive and narrative patterns and features that remain hidden beneath negatively oriented ways of seeing, being, acting and describing in academic, policy and practice settings. We argue that policy‐makers and academics alike need to be sensitive to the dynamics of discourse when constructing research and developing policy.     

On the use of secondary capture-recapture samples to estimate temporary emigration and breeding proportions

The use of the Cormack-Jolly-Seber model under a standard sampling scheme of one sample per time period, when the Jolly-Seber assumption that all emigration is permanent does not hold, leads to the confounding of temporary emigration probabilities with capture probabilities. This biases the estimates of capture probability when temporary emigration is a completely random process, and both capture and survival probabilities when there is a temporary trap response in temporary emigration, or it is Markovian. The use of secondary capture samples over a shorter interval within each period, during which the population is assumed to be closed (Pollock's robust design), provides a second source of information on capture probabilities. This solves the confounding problem, and thus temporary emigration probabilities can be estimated. This process can be accomplished in an ad hoc fashion for completely random temporary emigration and to some extent in the temporary trap response case, but modelling the complete sampling process provides more flexibility and permits direct estimation of variances. For the case of Markovian temporary emigration, a full likelihood is required.     

On the use of secondary capture-recapture samples to estimate temporary emigration and breeding proportions

The use of the Cormack-Jolly-Seber model under a standard sampling scheme of one sample per time period, when the Jolly-Seber assumption that all emigration is permanent does not hold, leads to the confounding of temporary emigration probabilities with capture probabilities. This biases the estimates of capture probability when temporary emigration is a completely random process, and both capture and survival probabilities when there is a temporary trap response in temporary emigration, or it is Markovian. The use of secondary capture samples over a shorter interval within each period, during which the population is assumed to be closed (Pollock's robust design), provides a second source of information on capture probabilities. This solves the confounding problem, and thus temporary emigration probabilities can be estimated. This process can be accomplished in an ad hoc fashion for completely random temporary emigration and to some extent in the temporary trap response case, but modelling the complete sampling process provides more flexibility and permits direct estimation of variances. For the case of Markovian temporary emigration, a full likelihood is required.     

The value of job safety for railroad workers

The value of reducing job risk is estimated using a hedonic wage model and a risk variable that is matched by occupation and state of residence. This study is the first to use the hedonic wage approach to estimate the value of safety in a single industry. Industry-specific estimates will help researchers and labor policymakers better understand the distribution of compensating wage differentials across industries. Our estimated value of job safety for railroad workers is between $21,000 and $26,000 (1980 dollars) per statistical disabling injury, which is somewhat larger than the average of values estimated in previous studies that use cross-industry or crossoccupation aggregate risk data.     

The Significance of Information Systems Research on Emerging Technologies: Seven Information Technologies that Promise to Improve Managerial Effectiveness*

Emerging information technologies are those excitingly novel advances that decision makers are just beginning to notice. These emerging products or processes may have been invented some time ago, but are only now beginning to reveal practical applications. This paper examines this collection of seven studies exploring emerging technologies, classifying them so the context of their results can be related to other emerging technologies. Once the research is classified and the contribution and managerial significance of the research is identified, it becomes apparent that certain barriers exist, holding back the technology from wider use and appreciation. Common obstacles include resistance to, or difficulty with, using the technology; uncertainty concerning the value of the technology; and the complexities involved with implementation. This paper concludes with recommendations for future research aimed at breaking down the barriers in order to move from the technological emergence phase to the technological sublime phase in which decision makers and other end users understand the technology, realize and appreciate its value, and put the technology to its best use.