Contradictions and crises of neoliberal–imperial globalization and the political opportunity structures for the Global Justice Movements

The Global Justice Movements emerged in the context of the contradictions and crisis of neoliberal–imperial globalization and the critique of it. They therefore express and provide a basis for the politicization of the negative consequences of post-Fordism and its crisis. This article examines the structural changes of the last 30 years from a Gramscian perspective of neoliberal globalization as a “passive revolution” and as the deepening of a “imperial mode of living” at a global scale. It is argued that examining structural changes helps us to understand why protest and social movements re-emerged around the year 2000. The article discusses some central features of the Global Justice Movements by focusing on the international Attac movement and the recent Occupy movement.     

“She Finally Smiles … for Real”: Reducing Depressive Symptoms and Bolstering Resilience Through a Camp Intervention for LGBTQ Youth

ABSTRACT

While summer camps are a recognized evidence-based strategy for building social and emotional skills among youth (U.S. Centers for Disease Control and Prevention [CDC], 2009), no known studies have evaluated the effects of camp programming for LGBTQ youth in the United States. This pilot study evaluates a novel program (Brave Trails) for LGBTQ youth ages 12 to 20, using a pre-post camper survey (N = 56) and a post-camp parent survey (N = 54). Results show campers experienced increases in identity affirmation and hope and a reduction in depressive symptoms. Regression analyses found changes in identity affirmation predicted reductions in depressive symptoms and increases in resilience. Additionally, campers’ experience of key camp programming features predicted changes in depressive symptoms. Findings from the parent survey were consistent with camper survey results. Theoretical and practical implications are discussed.     

Opportunities and Challenges for Public Libraries to Enhance Community Resilience

This study bridges a gap between public library and emergency management policy versus practice by examining the role of public libraries in the community resource network for disaster recovery. Specifically, this study identifies the opportunities and challenges for public libraries to fulfill their role as a FEMA‐designated essential community organization and enhance community resilience. The results indicate there are several opportunities for libraries to enhance community resilience by offering technology resources and assistance; providing office, meeting, and community living room space; serving as the last redundant communication channel and a repository for community information and disaster narratives; and adapting or expanding services already offered to meet the changing needs of the community. However, libraries also face challenges in enhancing community resilience, including the temptation to overcommit library capacity and staff capability beyond the library mission and a lack of long‐term disaster plans and collaboration with emergency managers and government officials. Implications for library and emergency management practice and crisis research are discussed.     

Agent‐Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities

In this article, an agent‐based framework to quantify the seismic resilience of an electric power supply system (EPSS) and the community it serves is presented. Within the framework, the loss and restoration of the EPSS power generation and delivery capacity and of the power demand from the served community are used to assess the electric power deficit during the damage absorption and recovery processes. Damage to the components of the EPSS and of the community‐built environment is evaluated using the seismic fragility functions. The restoration of the community electric power demand is evaluated using the seismic recovery functions. However, the postearthquake EPSS recovery process is modeled using an agent‐based model with two agents, the EPSS Operator and the Community Administrator. The resilience of the EPSS–community system is quantified using direct, EPSS‐related, societal, and community‐related indicators. Parametric studies are carried out to quantify the influence of different seismic hazard scenarios, agent characteristics, and power dispatch strategies on the EPSS–community seismic resilience. The use of the agent‐based modeling framework enabled a rational formulation of the postearthquake recovery phase and highlighted the interaction between the EPSS and the community in the recovery process not quantified in resilience models developed to date. Furthermore, it shows that the resilience of different community sectors can be enhanced by different power dispatch strategies. The proposed agent‐based EPSS–community system resilience quantification framework can be used to develop better community and infrastructure system risk governance policies.     

Reframing Resilience: Equitable Access to Essential Services

We urgently need to put the concept of resilience into practice if we are to prepare our communities for climate change and exacerbated natural hazards. Yet, despite the extensive discussion surrounding community resilience, operationalizing the concept remains challenging. The dominant approaches for assessing resilience focus on either evaluating community characteristics or infrastructure functionality. While both remain useful, they have several limitations to their ability to provide actionable insight. More importantly, the current conceptualizations do not consider essential services or how access is impaired by hazards. We argue that people need access to services such as food, education, health care, and cultural amenities, in addition to water, power, sanitation, and communications, to get back some semblance of normal life. Providing equitable access to these types of services and quickly restoring that access following a disruption are paramount to community resilience. We propose a new conceptualization of community resilience that is based on access to essential services. This reframing of resilience facilitates a new measure of resilience that is spatially explicit and operational. Using two illustrative examples from the impacts of Hurricanes Florence and Michael, we demonstrate how decisionmakers and planners can use this framework to visualize the effect of a hazard and quantify resilience-enhancing interventions. This “equitable access to essentials” approach to community resilience integrates with spatial planning, and will enable communities not only to “bounce back” from a disruption, but to “bound forward” and improve the resilience and quality of life for all residents.     

Understanding Community Resilience from a PRA Perspective Using Binary Decision Diagrams

Probabilistic risk assessment (PRA) is a useful tool to assess complex interconnected systems. This article leverages the capabilities of PRA tools developed for industrial and nuclear risk analysis in community resilience evaluations by modeling the food security of a community in terms of its built environment as an integrated system. To this end, we model the performance of Gilroy, CA, a moderate‐size town, with regard to disruptions in its food supply caused by a severe earthquake. The food retailers of Gilroy, along with the electrical power network, water network elements, and bridges are considered as components of a system. Fault and event trees are constructed to model the requirements for continuous food supply to community residents and are analyzed efficiently using binary decision diagrams (BDDs). The study also identifies shortcomings in approximate classical system analysis methods in assessing community resilience. Importance factors are utilized to rank the importance of various factors to the overall risk of food insecurity. Finally, the study considers the impact of various sources of uncertainties in the hazard modeling and performance of infrastructure on food security measures. The methodology can be applicable for any existing critical infrastructure system and has potential extensions to other hazards.     

Predicting Career Adaptability From Positive Psychological Traits

This study investigated positive psychological traits as predictors of career adaptability in a group of emerging adults. A total of 415 undergraduate students (185 men, 230 women) from a large state‐funded university in Turkey responded to Turkish versions of the Career Adaptability subscale of the Career Futures Inventory (Rottinghaus et al., 2005 ), the Dispositional Hope Scale (Snyder et al., 1991 ), the Life Orientation Test (Scheier & Carver, 1985 ), and the Ego Resiliency Scale (Block & Kremen, 1996 ). Results indicated moderate to strong correlations among the variables and suggested that students who are more resilient, hopeful, and optimistic are more likely to perceive themselves as more adaptable in their careers. Simultaneous multiple regression analysis indicated that career adaptability was significantly predicted by hope, resilience, and optimism. In light of these results, when designing career interventions to enhance the career adaptability of emerging adults, counselors should integrate various strategies to foster hope, resilience, and optimism.     

‘Queen of the world’: experiences of ‘at-risk’ young people participating in equine-assisted learning/therapy

There is a significant body of research into the benefits of animal-assisted therapy (AAT) but less into the fields known as equine-assisted learning and therapy (EAL/EAT) where horses are incorporated in therapeutic and learning interventions. This paper explores the experiences of seven ‘at-risk’ young people who participated in a therapeutic horsemanship (TH) programme. The study followed a practice-near approach seeking to capture the young people's experiences within a participative ethnography. Themes related to the risk and resilience literature such as self-confidence, self-esteem, self-efficacy and a sense of mastery, empathy and the opening of positive opportunities are explored in this paper.     

No Expo Network: a failed mobilization in a post-political frame

In 2015 Milan hosted the Universal Exposition with the theme ‘Feeding the Planet, Energy for Life’. Even if characterized by various scandals and problems, the edition was narrated by the mainstream media as a political and economic success. Critical voices were almost completely obscured by favorable propaganda and the ideas of development and the future proposed by the Expo rhetoric was presented as inevitable, configuring ‘the best of all possible worlds’ in a more general post-political frame. In this profile I first present the main characteristics of the No Expo Network, e.g. the actors that composed it and the main critiques that they advanced. I will then focus on the reasons for its defeat, which is then contextualized in relation to the election of the Chief Executive Officer of Expo 2015 as new Mayor of Milan. Here, we can see the continuation and structural strengthening of the neoliberal politics of Expo2015 beyond the mega event itself.     

Pandemic Recovery Analysis Using the Dynamic Inoperability Input-Output Model

Economists have long conceptualized and modeled the inherent interdependent relationships among different sectors of the economy. This concept paved the way for input-output modeling, a methodology that accounts for sector interdependencies governing the magnitude and extent of ripple effects due to changes in the economic structure of a region or nation. Recent extensions to input-output modeling have enhanced the model's capabilities to account for the impact of an economic perturbation; two such examples are the inoperability input-output model^{( 1 , 2 )} and the dynamic inoperability input-output model (DIIM).^{( 3 )} These models introduced sector inoperability, or the inability to satisfy as-planned production levels, into input-output modeling. While these models provide insights for understanding the impacts of inoperability, there are several aspects of the current formulation that do not account for complexities associated with certain disasters, such as a pandemic. This article proposes further enhancements to the DIIM to account for economic productivity losses resulting primarily from workforce disruptions. A pandemic is a unique disaster because the majority of its direct impacts are workforce related. The article develops a modeling framework to account for workforce inoperability and recovery factors. The proposed workforce-explicit enhancements to the DIIM are demonstrated in a case study to simulate a pandemic scenario in the Commonwealth of Virginia.