Gambling-related problems across life domains: an exploratory study of non-treatment-seeking weekly gamblers

This study uses content analysis to provide a qualitative exploration of how life roles are affected by frequent (i.e. at least weekly) gambling, based on in-depth interviews with a community sample of 161 non-treatment-seeking frequent gamblers. Over half (51.6%) of the participants indicated problems associated with gambling and 131 examples were identified. The majority of problems were relational (50.4%), followed by financial (19.8%), work (13.7%), and school related (8.4%). Slightly less than half of participants (41.7%) reported losses due to gambling and 92 examples were provided. The most frequently reported loss was identity related (54.3%), which included self-esteem/shame (38.0%), estrangement from family (34.0%), estrangement from friends (16.0%), and estrangement from work colleagues (6.0%). Additional losses included health (29.3%) and financial (8.7%). Almost two-thirds of participants (64.6%) reported difficulty concentrating in family (18.4%), work (16.8%), and school (9.6%) activities, whereas general concentration problems comprised an additional 48.8% of the examples provided. Half of participants (49.1%) discussed behavioral withdrawal due to gambling, which included withdrawal from work (44.3%), relationships (24.5%), school (15.1%), and personal (6.6%) activities. These findings paint a complex picture of how gambling interferes with different life roles for some frequent gamblers, identifying important areas for future research and practice.     

Social Cognitive Factors,Support, and Engagement: Early Adolescents’ Math Interests as Precursors to Choice of Career

The authors examined the central hypothesis that students’ early perceptions of support and sense of engagement in math classes and math activities strongly influence the broadening or narrowing of their math interest. The focus was on the first wave of qualitative data collected from 5th‐, 7th‐, and 9th‐grade students during the 2007–2008 academic year as part of a longitudinal study. Findings indicate the importance of using group work and extrinsic motivation in middle school math classes to broaden interest; peer classroom behavior was often a detractor of math interest.     

State of the Art in Risk Analysis of Workforce Criticality Influencing Disaster Preparedness for Interdependent Systems

The objective of this article is to discuss a needed paradigm shift in disaster risk analysis to emphasize the role of the workforce in managing the recovery of interdependent infrastructure and economic systems. Much of the work that has been done on disaster risk analysis has focused primarily on preparedness and recovery strategies for disrupted infrastructure systems. The reliability of systems such as transportation, electric power, and telecommunications is crucial in sustaining business processes, supply chains, and regional livelihoods, as well as ensuring the availability of vital services in the aftermath of disasters. There has been a growing momentum in recognizing workforce criticality in the aftermath of disasters; nevertheless, significant gaps still remain in modeling, assessing, and managing workforce disruptions and their associated ripple effects to other interdependent systems. The workforce plays a pivotal role in ensuring that a disrupted region continues to function and subsequently recover from the adverse effects of disasters. With this in mind, this article presents a review of recent studies that have underscored the criticality of workforce sectors in formulating synergistic preparedness and recovery policies for interdependent infrastructure and regional economic systems.     

The big data divide and its consequences

Recent advances in technology and the increasing volumes of data that they enable have led to a wave of scholarly and popular attention to big data. While big data is often heralded for its ability to provide insight, the data, its analysis, and its outcomes are not evenly distributed. Currently, scholarship on big data is extending past work on the digital divide, theorizing a new big data divide. While this work most directly addresses the issues of ownership and access to big data, some work extends the divide to issues relating to skill and use. This extension opens up new complications relating to identity, social sorting, use, agency, and global development that are inextricably related to the issues above and to the study of big data. These issues go beyond the simple language of the digital divide extending inquiries into the realm of digital inequalities more generally. Any work on big data and the big data divide needs to engage with a more broad‐based notion of digital inequalities to be better equipped to handle the complex issues above, as well as the material, democratic, and identity problems that big data bring about.     

Flood Catastrophe Model for Designing Optimal Flood Insurance Program: Estimating Location‐Specific Premiums in the Netherlands

As flood risks grow worldwide, a well‐designed insurance program engaging various stakeholders becomes a vital instrument in flood risk management. The main challenge concerns the applicability of standard approaches for calculating insurance premiums of rare catastrophic losses. This article focuses on the design of a flood‐loss‐sharing program involving private insurance based on location‐specific exposures. The analysis is guided by a developed integrated catastrophe risk management (ICRM) model consisting of a GIS‐based flood model and a stochastic optimization procedure with respect to location‐specific risk exposures. To achieve the stability and robustness of the program towards floods with various recurrences, the ICRM uses stochastic optimization procedure, which relies on quantile‐related risk functions of a systemic insolvency involving overpayments and underpayments of the stakeholders. Two alternative ways of calculating insurance premiums are compared: the robust derived with the ICRM and the traditional average annual loss approach. The applicability of the proposed model is illustrated in a case study of a Rotterdam area outside the main flood protection system in the Netherlands. Our numerical experiments demonstrate essential advantages of the robust premiums, namely, that they: (1) guarantee the program's solvency under all relevant flood scenarios rather than one average event; (2) establish a tradeoff between the security of the program and the welfare of locations; and (3) decrease the need for other risk transfer and risk reduction measures.     

Ecosystem services provided by urban spontaneous vegetation

Spontaneous vegetation colonizes large areas in and around cities. These unmanaged areas are considered to have low economic value or indicate dereliction, but recent research suggests that these can contribute valuable ecosystem services. This study evaluates indicators of ecosystem services in three habitats: urban spontaneous vegetation (USV), managed lawns, and semi-natural urban forest, in Halifax, Nova Scotia. USV had higher indicator values for habitat provisioning (plant species diversity, invertebrate abundance and taxonomic diversity) than the other habitats. Indicators of climatic regulatory services (albedo and leaf area index) in USV were similar to those in lawn habitats. Organic carbon content of the soils, an indicator of carbon storage, was lowest in USV but only marginally lower than in lawns. Standing biomass, an indicator of production services, was lowest in USV but lawn production may have been overestimated. While USV sites are usually transitory components of the urban landscape, they deserve further consideration due to their provision of ecosystem services, in some cases to a greater extent than conventionally valued urban habitats.     

Inequality of Opportunity in Indian Women

Social Indicators Research - Inequality of opportunity (IOp) in any society is defined as that part of overall inequality which arises from factors beyond the control of an individual...     

Brief Emotion Focused Family Therapy: An Intervention for Parents of Children and Adolescents with Mental Health Issues

This study evaluated the 2‐day intensive modality of Emotion Focused Family Therapy (EFFT). The intervention attempts to prepare parents to take a primary role in their child's recovery from a range of mental health issues. One hundred and twenty‐four parents completed the intervention and provided data a week prior to intervention, post‐intervention and at 4‐month follow‐up. Results include significantly reduced parent blocks and increased parental self‐efficacy in relation to involvement in their child's recovery, as well as significant improvement in child symptomatology. The findings confirm positive results from an earlier pilot study involving eating disorders and demonstrate the potential for EFFT as an intervention for a range of clinical problems in children and youth.