Social Smoking: An Untenable Position

Abstract

Social smokers manage the conflicting aspects of their liminal identities by negotiating complex roles of performance and exchange. Using a combination of methods, including both participant observation of cultural performances and informal interviews, to elicit lay theories and accounts of self-conscious practices, this project examines social actors, self-defined as nonsmokers (or reformed smokers), who engage in recreational tobacco use. Through in-depth interviews and observations of self-identified female social smokers, we document general characteristics of this subpopulation, sampled from a large Midwest capital and its surrounding areas. Social smokers occupy an untenable social space; as neither smokers nor nonsmokers, they use both practices and discourses about those practices to stake their claim to an untenable social position. We conclude with a theoretical discussion that compares our findings with other discourses on smoking, especially the discourse of addiction narratives. In an age of increasing awareness of the health consequences, smoking has become a culturally unavailable category producing “disconfirming realities” in which social smokers constantly renegotiate their status.     

After the Storm: How Race,Class, and Immigration Concerns Influenced Beliefs About the Katrina Evacuees*

Objective. In September 2005, approximately 150,000 Gulf Coast residents fled to Houston, Texas, seeking shelter following Hurricane Katrina. Since the majority of evacuees were poor African Americans, the political and social consequences of the storm inspired a national dialogue on race and class. However, in Houston, the discourse on Katrina evacuees also involved immigration concerns. The city's distinction as a gateway to new arrivals influenced the dialogue on the evacuees' impact on the local area. This article assesses the extent to which race, class, and immigration concerns influenced Houstonians' beliefs about the Katrina evacuees. Methods. We analyze data from the 2006 and 2008 Houston Area Survey in order to assess attitudes toward these newcomers at two distinct time periods: within six months of their arrival and then again more than two years later. Results. Our findings show that both national and local factors influenced beliefs about the Katrina evacuees. Conclusions. The dynamics of race/ethnicity and apprehension toward immigrants drove largely antagonistic beliefs about the mostly poor, mostly black new arrivals.     

The experience of smoking in recovery settings: an ecological momentary assessment pilot study

ABSTRACT

Smoking continues to be the leading cause of preventable death in the United States, and people with substance use disorders (SUD) smoke at higher rates compared to their non-using counterparts. Individuals with SUDs may have different emotional experiences and expectancies than those without. The current study explored the relationship between smoking and emotional experiences among residents in recovery homes, a population that little is known about regarding their tobacco addiction. Using ecological momentary assessment (EMA), significant emotional differences were found between nicotine users and nonusers. Implications of these findings could help in the development of interventions directed toward reducing smoking cessation.     

The Emergence of Flood Insurance in Canada: Navigating Institutional Uncertainty

Flood insurance has remained unavailable in Canada based on an assessment that it lacks economic viability. In response to Canada's costliest flood event to date in 2013, the Canadian insurance industry has started to develop a framework to expand existing property insurance to cover flood damage. Research on flood insurance has overlooked why and how insurance systems transition to expand insurance coverage without evidence of economic viability. This article will address this gap through a case study on the emergence of flood insurance in Canada, and the approach to its expansion. Between 2013 and 2016, insurance industry officials representing over 60% of premiums collected in Canada were interviewed. These interviews revealed that flood insurance is being expanded in response to institutional pressure, specifically external stakeholder expectations that the insurance industry will adopt a stronger role in managing flood risk through coverage of flood damage. Further evidence of this finding is explored by assessing the emergence of a unique flood insurance model that involves a risk‐adjusted and optional product along with an expansion of government policy supporting flood risk mitigation. This approach attempts to balance industry concerns about economic viability with institutional pressure to reduce flood risk through insurance. This analysis builds on existing research by providing the first scholarly analysis of flood insurance in Canada, important “empirical” teeth to existing conceptual analysis on the availability of flood insurance, and the influence of institutional factors on risk analysis within the insurance sector.     

Norm-preserving constraint in the Fisher–Rao registration and its application in signal estimation

Registration of temporal observations is a fundamental problem in functional data analysis. Various frameworks have been developed over the past two decades where registrations are conducted based on optimal time warping between functions. Comparison of functions solely based on time warping, however, may have limited application, in particular when certain constraints are desired in the registration. In this paper, we study registration with norm-preserving constraint. A closely related problem is on signal estimation, where the goal is to estimate the ground-truth template given random observations with both compositional and additive noises. We propose to adopt the Fisher–Rao framework to compute the underlying template, and mathematically prove that such framework leads to a consistent estimator. We then illustrate the constrained Fisher–Rao registration using simulations as well as two real data sets. It is found that the constrained method is robust with respect to additive noise and has superior alignment and classification performance to conventional, unconstrained registration methods.     

A latent class analysis of young adult gamblers from the Manitoba Longitudinal Survey of Young Adults

Informed by the Pathways Model, the current study utilized latent class analysis (LCA) to empirically derive subtypes of gamblers based on measures of impulsivity, anxiety, depression, drug use and alcohol dependence. The sample in this study (N = 566) was comprised of young adult gamblers (18–22 years of age) who participated in the Manitoba Longitudinal Survey of Young Adults (MLSYA). Multinomial regression was utilized to examine how demographic variables and participant scores on the Problem Gambling Severity Index (PGSI) predicted membership in gambler classes from the LCA. Results of the LCA revealed three classes of gamblers: emotionally vulnerable, non-problem and impulsive. Multinomial regression showed that older age (i.e. 20–22 years of age), lower income (< $20,000 per year), living independently and PGSI scores were associated with increased odds of being classified as an impulsive gambler. Identifying as European, living independently and PGSI scores were associated with increased odds of being grouped in the emotionally vulnerable class of gambler. These results suggest that young adult gamblers are not a homogeneous group but instead are best understood as falling into different subtypes based on shared characteristics outlined in the Pathways Model.     

Re-approaching interview data through qualitative secondary analysis: interviews with internet gamblers

ABSTRACT

This paper addresses two interrelated questions concerning what interview data are and how researchers might use them. The first considers the value of a shift from a predominant or exclusive focus upon how data are constructed and produced at interview, and towards how such data might be apprehended through different forms of engagement. The second question relates to how and what qualitative secondary analysis (QSA) might be used to tell about the social world. In exploring this, we advance a critique of the divide between primary and secondary analysis, recasting the debate in terms of different degrees and qualities of ‘proximity’ and ‘distance’ from the formative contexts of data generation, and the distinctive analytical affordances that relate to these. Using QSA of interview data from a study of problem internet gambling as an empirical crucible, we consider the kinds of participation that interviewees develop through reciprocal engagement with interviewers. We illustrate how participants reflexively negotiate the affordances and limits to the narratives through which they frame and recount their experiences. Finally, we show how interview data can be used both to speak of the temporal, relational, spatial, epistemic contexts of their production, and also to contexts and questions beyond these.     

“Beating the Bad Rap:” A Qualitative Study of Social Studies Educators Using Film

Abstract

The film-based practices of four social studies teachers were examined using a qualitative methodology. The research interviewed teachers twice over a 2-month period, collected handouts, and collected audio-recorded teacher logs. Three of the teachers taught social studies primarily, while a fourth teacher was responsible for both English and social studies content. The findings indicate that teachers used film in addition to a wide range of other visual practices. Teachers used film actively rather than passively to facilitate dialogic connections, as well as elicit thinking about their content areas.