Does compassion go viral? Social media,caring, and the Fort McMurray wildfire

ABSTRACT

In May 2016, an enormous wildfire threatened the city of Fort McMurray, Alberta and forced the evacuation of all of the city’s residents. Outpourings of support teemed in from all across Canada and over the world, prompting the largest charitable response in Canadian Red Cross history. This paper examines Albertans’ response to the wildfire by exploring caring and helping behaviors as well as the role of social media in facilitating these remarkable charitable efforts. The paper uses mixed methods including an analysis of the most popular Tweets related to the wildfire and an Alberta survey collected months after the disaster. The analysis of tweets reveals that care, concern, and invitations to help were prominent in social media discourse about the wildfire. The analysis of survey data demonstrates that those who followed news about the wildfire on social media express higher overall levels of care and concern for those affected, which led to helping those impacted by the wildfire. The findings provide important insights about the role of social media in disaster relief and recovery as well as citizens’ civic engagement.     

On artistic and cultural generations in Northeastern Tibet

Beginning in the 1980s, and continuing for over three decades since, a particular generation of Tibetans from the Northeastern Tibetan region known as Amdo, and particularly from the northern parts of China’s Qinghai province, has proven extremely productive. Why has this generation, born primarily between 1959 and 1967, been so incredibly successful? This article examines the contextual factors that may have contributed to the incredible success of this generation. This ranges from the policies and circumstances that affected their births, and the state of the cultural field at the time they reached adulthood. Personal experience narratives, autobiographies, and scholarly studies then reveal how this generation was able to access the intellectual field. Finally, I briefly discuss how the Amdo Tibetan intellectual field compares with other Tibetan and ethnic experiences in the People’s Republic of China.     

Reflections on a meta-analysis: Crystallizing thinking about SCCT

This article provides my reflections and comments on the meta-analysis of situational crisis communication theory (SCCT) presented in this issue. The meta-analysis helps to crystallize strengths and weaknesses of SCCT and the research generated by the theory. No theory is perfect and every theory has limitations/boundaries. The meta-analysis helps to identify the boundaries for SCCT helping to understand when the theory works and when there are better options for informing crisis communication. By reflecting on the extant research, we can plot the direction for future research utilizing SCCT.     

The Impact of Learning and Labor Attrition on Worker Flexibility in Dual Resource Constrained Job Shops

This study investigates the impact of worker learning, worker flexibility, and labor attrition on the system performance of a dual resource constrained (DRC) job-shop. The effects of learning and labor attrition have not been previously addressed in DRC literature. Results from the study, consistent with previous literature, show that the greatest benefits are achieved when inter-departmental worker flexibility is incrementally introduced into the system. In addition, the learning environment, which depends on the initial processing time of jobs and the learning rates of workers, is shown to impact the acquisition of flexibility. The study also shows that the impact of labor attrition on system performance under certain shop conditions may be significant.     

Sensitivity Analysis in Linear Programming Models with Common Inputs

The importance of sensitivity analysis information in linear programming has been stressed in the management science literature for some time. Indeed, Gal [3] has devoted an entire text to just this issue. Linear programs with common inputs (cost coefficients or right-hand-side values) present a problem in that classical sensitivity analysis does not allow for the simultaneous changes required to determine the sensitivity of these models to common inputs. We first survey the approaches previously developed for simultaneous-change sensitivity analysis and cast them in the framework of the special common input case. These general techniques are compared to a simple aggregate variable technique that has not received attention in the literature.     

Modeling Demand For Unionization With Nontraditional Data Analysis Methods

Upon reviewing the extant literature on determinants of unionism, it becomes clear that many areas that have had a plethora of research attention do not converge upon singularly directional findings. This study explores a potential cause of such an apparent anomaly: nonlinearity of data. An exploratory examination of correlation coefficients among typical union determinant variables seems to show different patterns of relationships at different levels of union demand. Thus, a break from traditional linear data analysis techniques is explored in the interest of explaining more variance with typical, theoretically derived variables by using neural network analysis. Results of analyses on industry level data reveal that using neural network analysis to model union demand explained over four times as much variance as multiple regression analysis.     

Capturing temporal dynamics of fear behaviors on a moment‐to‐moment basis

Identifying patterns of fearful behaviors early and accurately is essential to identify children who may be at increased risk for psychopathology. Previous work focused on the total amount of fear by using composites across time. However, considering the temporal dynamics of fear expression might offer novel insights into the identification of children at risk. One hundred and twenty‐five toddlers participated in high‐ and low‐fear tasks. Data were modeled using a novel two‐step approach. First, a hidden Markov model estimated latent fear states and transitions across states over time. Results revealed children's behavior was best represented by six behavioral states. Next, these states were analyzed using sequence clustering to identify groups of children with similar dynamic trajectories through the states. A four‐cluster solution found groups of children varied in fear response and regulation process: “external regulators” (using the caregiver as a regulation tool), “low reactive” (low reaction to stimulus), “fearful explorers” (managing their own internal state with minimal assistance from the caregiver), and “high fear” (fearful/at‐caregiver state regardless of task). The combination of analytic tools enabled fine‐grained examination of the processes of fearful temperament. These insights may help prevention programs target behaviors that perpetuate anxious behavior in the moment.     

Development of the Emergency Department Senior Abuse Identification (ED Senior AID) tool

Emergency departments (EDs) are an important health care setting for the identification of elder abuse (EA). Our objective was to develop an ED-based tool to identify EA. The initial tool included a brief cognitive assessment, questions to detect multiple domains of EA, and a physical examination. Refinement of the tool was based on input from clinical experts and nurse and patient feedback. The revised tool, which included 15 questions about EA, was then tested in an academic ED. We calculated the inter-rater reliability, sensitivity, and specificity of individual EA questions. Among ED patients age≥65 (N = 259), 17 (7%) screened positive for suspicion of EA. We identified a combination of six questions that cover the included domains of EA, demonstrated good or excellent inter-rater reliability, and had a sensitivity and specificity of 94% (95% confidence interval (CI) 71–100%) and 90% (95% CI 85–93%), respectively. These results inform a proposed screening tool for multisite validation testing.     

Tracing disorder across theories of autism,empathy, and mental health care

Abstract

Categories of mental disorders are generally understood through a biomedical paradigm of clinical research, diagnosis, and intervention. Here, diagnoses operate as professional tools, facilitating care organization and information exchange across diverse social contexts. In this article, I focus on how the diagnosis of autism-spectrum disorder operates in this manner. Autism conceived as a biomedical disorder is then contrasted with proposals by the neurodiversity movement, who understand core qualities of autism as alternative expressions of otherwise normal processes of brain development. Finally, I supplement these conversations with insights from Gerald Edelman’s theory of neural plasticity and Felix Guattari’s paradigm of ethico-aesthetic care. Understood together, these allow mental disorders and community care generally to be reconceived in terms of networks of expressive, embodied, and dynamically embedded rhythms that transcend individual persons. This serves, additionally, to illustrate a concept of empathy that traverses neurological, psychological, and sociocultural domains.