Improving Ethical Knowledge and Sensemaking from Cases through Elaborative Interrogation and Outcome Valence

The case-based approach to learning is popular among many applied fields. However, results of case-based education vary widely on case content and case presentation. This study examined two aspects of case-based education—outcome valence and case elaboration methods—in a two-day case-based Responsible Conduct of Research (RCR) ethics education program. Results suggest that outcome information is an integral part of a quality case. Furthermore, valence consistent outcomes may have certain advantages over mixed valence outcome information. Finally, students enjoy and excel working with case material, and the use of elaborative interrogation techniques can significantly improve internally-focused ethical sensemaking strategies associated with personal biases, constraints, and emotions.     

A Regional Development Index for Portugal

In a report from 2008 the Organization for Economic Cooperation and Development came to the conclusion that Portugal is a country still very much marked by regional asymmetries and in need of better regional governance mechanisms and policies. We propose a regional development index for Portugal at the NUTS III level, based on the methodology of the human development index (HDI) from the United Nations Development Programme, which will be helpful to assess the evolution of the asymmetries between regions and evaluate the need for regional policy. Results show us a country that has most of the highest ranked NUTS III regions positioned along the coastline, although some interior NUTS III regions improved their relative positions in the ranking between 2004 and 2009. In addition to the three traditional dimensions of the HDI—income, education, and health—we include two more, given their increasing importance in the literature that criticizes the HDI and suggests the inclusion of new variables—governance and environment. Results show some considerable differences when we add the environment dimension: the interior regions improve their relative positions in the ranking, but in terms of governance they change little. Results also show that there is still the need for regional policy, although the dispersion in the ranking between the best and worst positioned NUTS III regions has decreased in all dimensions except education.     

Slow‐fast dynamics in a model of population and resource growth

Models of the interaction of population, the economy, and the environment often contain nonlinear functional relationships and variables that move at different speeds. These properties foster apparent unpredictabilities in system behaviour. Using a simple deterministic model of demographic, economic and environmental interactions we illustrate the usefulness of geometric singular perturbation theory in environmental population economics. In contrast to local stability analysis, the theory of slow‐fast dynamics helps to gain new insights into the global behaviour of the system. In particular, the knowledge of the basins of attraction of the stationary states enables one to determine the regions of sustainable future paths of resources and population.     

Building Resilience in Social Workers: An Exploratory Study on the Impacts of a Mindfulness-based Intervention

Burnout is a frequent and well-documented consequence of social work practice. The literature suggests that mindfulness-based interventions might help develop the mental states and emotional skills that are indicators of resilience. This mixed-methods, non-randomised controlled, exploratory study with 14 social workers in Canada investigated differences in social workers’ levels of stress, resilience, and burnout after a mindfulness-based intervention, compared to a waitlist group. The intervention group was also interviewed about changes in their relationships within the workplace, their perceived sense of mental health, and wellbeing. Results suggested that the mindfulness-based intervention significantly decreased the treatment group’s perceived stress compared to those on the waitlist and continued to decline for 26 weeks post-intervention. Intervention participants reported positive changes in attitudes, perspectives, behaviours, and energy in relation to their workplace relationships with peers and supervisors. Mindfulness-based interventions for reducing stress and building resilience to burnout in social workers and other helping professionals hold promise, and invite further research.     

Who Can Tell? Network Diversity,Within‐Industry Networks,and Opportunities to Share Job Information

This article examines opportunities to share job information. It adds to the growing body of research on information holders and complements existing research that explains what kinds of networks and network positions provide the greatest benefit to job seekers. Data from an exploratory study of entry‐level, white‐collar workers are used to relate opportunities to share information—defined to consist of both knowledge of a job opening and awareness of a potential applicant among one's network members—with information holders’ network composition. The data show that information holders with strong within‐industry networks have more opportunities to share information and do share more information. Information holders with diverse networks more often identify potential applicants for jobs and thus have more opportunities to share information. However, despite having more opportunities to do so, they do not share information more often than those with less diverse networks. These findings, combined with the growing literature on information holders, suggest that different aspects of network composition affect the flow of job information at different stages and thus by different mechanisms.     

Evaluation of realized volatility predictions from models with leptokurtically and asymmetrically distributed forecast errors

Accurate volatility forecasting is a key determinant for portfolio management, risk management and economic policy. The paper provides evidence that the sum of squared standardized forecast errors is a reliable measure for model evaluation when the predicted variable is the intra-day realized volatility. The forecasting evaluation is valid for standardized forecast errors with leptokurtic distribution as well as with leptokurtic and asymmetric distributions. Additionally, the widely applied forecasting evaluation function, the predicted mean-squared error, fails to select the adequate model in the case of models with residuals that are leptokurtically and asymmetrically distributed. Hence, the realized volatility forecasting evaluation should be based on the standardized forecast errors instead of their unstandardized version.