On being unreasonable in modern society: are mental health problems special?

There are many grounds for arguing that people with a range of disabilities have more in common than they have differences. However, those grounds to date have not resulted in a unified social movement. This paper examines one possible reason for that lack of unity: the particular force of being unreasonable in modern society. However, being unreasonable is not limited to those with a psychiatric diagnosis, nor does a lack or loss of reason take a simple common form within that group: it is a highly nuanced and context-specific matter. This complexity is discussed in relation to a set of inter-related questions about legalism, morality and post-enlightenment concerns with order and rationality. The paper concludes with a discussion of scenarios available to new social movements concerned with disability.     

Motivators for Seeking Gambling-Related Treatment Among Ontario Problem Gamblers

A random digit dialing telephone survey was used to interview 8,467 adults in Ontario, Canada. The NODS-CLiP was used to identify a representative sample of 730 gamblers (54.3% male, mean age 45.3 years) with possible past year gambling problems in order to explore factors that might affect disordered gamblers’ motivators for seeking gambling-related help. A final sample of 526 gamblers provided useable data on possible reasons for and barriers to seeking help, awareness of services, self-perception of gambling problems and experience with help-seeking. Financial and relationship issues were the most frequently volunteered motivators. However, over two-thirds of the respondents could not think of a reason for seeking help. Gamblers who had self-admitted or more severe problems, who knew how to get help, who were employed and had more education, and who identified possible barriers to seeking help were more likely to suggest motivators, especially financial ones. More research is recommended on gamblers’ trajectory towards recognition of a gambling problem, the process of overcoming specific barriers to treatment, and the role of social advantage (e.g., education and employment), in order to devise educational campaigns that will encourage earlier help-seeking among disordered gamblers.     

Who Is Supporting Homeless Youth? Predictors of Support in Personal Networks

Homeless youth lack the traditional support networks of their housed peers, which increases their risk for poor health outcomes. Using a multilevel dyadic analytic approach, this study identified characteristics of social contacts, relationships, and social networks associated with the provision of tangible and emotional support to homeless youth (N = 419, M age = 20.09, SD = 2.80). Support providers were likely to be family members, sex partners, or non–street‐based contacts. The provision of support was also associated with contacts' employment and homelessness status, frequency of contact, shared risk behaviors, and the number of network members that were homeless and employed. The results provide insights into how homeless youth could be assisted to develop more supportive social networks.     

Design recommendations for the creation of icons for the elderly

During employment of icons in order to represent system functions, specific user requirements from elderly people have not been scientifically gathered and thus will merely be considered during the process of system design. The survey, with explicit consideration of technology acceptance and experience of 120 elderly probands, looked into the comprehension of four different classes of non-animated graphical representations. It was shown that among elderly, the use of photos compared to pictograms or clip art leads to a significantly higher recognition rate. The mapping of actions rather than objects leads to a further reduction of the error probability and is thus, especially in the context of telemedicine, preferable for the target group.     

Institutional Activism: Reconsidering the Insider/Outsider Dichotomy

Social movements are conventionally understood as a means by which groups seek to resolve collective grievances outside of the regular political process. With this in mind, I explore the important role of “institutional activists”– insiders with access to resources and power – who proactively take up causes that overlap with those of grassroots challengers. This article focuses on the history of, and recent developments in, the study of institutional activism, situating the concept within existing social movement theory and providing examples of the varying roles of institutional activists in mobilization.     

Teaching Business Demography Using Case Studies

Many faculty members consider using case studies but not all end up using them. We provide a brief review of what cases are intended to do and identify three ways in which they can be used. We then use an example to illustrate how we have used the case study method in teaching business demography. Among other benefits, we note that the case studies method not only encourages the acquisition of skills by students, but can be used to promote “deep structure learning,” an approach naturally accommodates other features associated with the case studies method—the development of critical thinking skills, the use of real world problems, the emphasis of concepts over mechanics, writing and presentation skills, active cooperative learning and the “worthwhileness” of a course. As noted by others, we understand the limitations of the case study method. However, given its strengths, we believe it has a place in the instructional toolbox for courses in business demography. The fact that courses we teach is a testament to our perceived efficacy of this tool.     

New Directions in the Development of Population Estimates in the United States?

The advent of a continuously updated Master Area File (MAF) following the 2000 census represents an information resource that can be tapped for purposes of developing timely, cost-effective, and precise population estimates for even the smallest of geographical units (e.g., census blocks). We argue that the MAF can be enhanced (EMAF) for these purposes. In support of our argument we describe a set of activities needed to develop EMAF, each of which is well within the current capabilities of the U.S. Census Bureau and discuss various costs and benefits of each. We also describe how EMAF would provide population estimates containing a wide range of demographic (e.g., age, race, and sex) and socio-economic characteristics (e.g., educational attainment, income, and employment). As such, it could largely negate and eliminate the need for many of the traditional demographic methods of population estimation and possibly reduce the number of sample surveys. We identify important challenges that must be surmounted in order to realize EMAF and make suggestions for doing so. We conclude by noting that the idea of the EMAF could be of interest to other countries with MAF files and strong administrative records systems that, like the United States, are facing the challenge of producing good population information in the face of increasing census costs.     

Gender identity and lexical variation in social media

We present a study of the relationship between gender, linguistic style, and social networks, using a novel corpus of 14,000 Twitter users. Prior quantitative work on gender often treats this social variable as a female/male binary; we argue for a more nuanced approach. By clustering Twitter users, we find a natural decomposition of the dataset into various styles and topical interests. Many clusters have strong gender orientations, but their use of linguistic resources sometimes directly conflicts with the population‐level language statistics. We view these clusters as a more accurate reflection of the multifaceted nature of gendered language styles. Previous corpus‐based work has also had little to say about individuals whose linguistic styles defy population‐level gender patterns. To identify such individuals, we train a statistical classifier, and measure the classifier confidence for each individual in the dataset. Examining individuals whose language does not match the classifier's model for their gender, we find that they have social networks that include significantly fewer same‐gender social connections and that, in general, social network homophily is correlated with the use of same‐gender language markers. Pairing computational methods and social theory thus offers a new perspective on how gender emerges as individuals position themselves relative to audiences, topics, and mainstream gender norms.