ETHNIC ENCLOSURE OR ETHNIC COMPETITION: Ethnic Identification Among Hispanics in Texas

Recent theoretical debates have focused on the utility of two alternative perspectives on ethnic identification. However, empirical support for either is neither consistent nor conclusive and previous analyses seldom conceptually or empirically examine the aggregate macrostructural determinants of ethnic identification. This study reevaluates the relative merits of the ethnic enclosure and ethnic competition perspectives among Texan Hispanics using aggregate 1980 Census of Population data for 139 Texas cities with large Hispanic populations. The rejection of the ethnic enclosure thesis in some recent research is unwarranted, as the empirical evidence provides it substantial support and little for the ethnic competition perspective. Further analyses of structural factors in ethnic identification are merited.     

Environmental Controversies,Interactional Resources,and Rural Communities: Siting Versus Exposure Disputes1

Abstract Differences in the types of social conflict occuring in facility siting disputes and toxic contamination cases are compared. An ecological-symbolic perspective and the concept of strong and weak ties are used to interpret the nature of social conflict in two rural Pennsylvania communities and in cases in the literature. Overall, community solidarity appears likely to be enhanced in siting disputes and undermined in exposure situations. To explain this, two conflict paths are developed that move from the presence or absence of the hazard agent to individual perceptions, the generation of collective threat beliefs and the formation of strong ties, the emergence of alternative leadership and its relationship to official authorities, and finally the formation of weak ties. In each case, the type of community conflict results from the nature of the perceived environmental threat and the social process that threat sets in motion. Practical implications for rural community development are discussed.     

External resources and the Unemployed Councils of the 1930s: Evaluating six propositions from social movement theory

This article uses six propositions developed from the resource mobilization and political opportunity structure approaches to social movements in order to highlight the importance of external resources and political environment in explaining the emergence, development, and decline of the Unemployed Councils—the major organization of the unemployed workers movement of the 1930s. The analysis emphasizes the dominance of the Communist Party on the inner life of the Councils but notes both the important exceptions to that dominance and the social functions served by that dominance. The analysis also suggests that conflicts among elites opened up the political space for short-term political concessions on the local, state, and national levels. Because Council leaders did not perceive the changing political opportunities of the New Deal, however, they were unable to consolidate these concessions nor build stable organizations among the working class. These conclusions speak to several unresolved or problematic issues in both resource mobilization and political opportunity structure approaches.An earlier version of this paper was presented at the annual meeting of the Eastern Sociological Society, Providence, Rhode Island, April 1991.     

A Cautionary Note on Data Inputs and Visual Outputs in Social Network Analysis

Innovations in network visualization software over the last decade or so have been important to the popularization of social network analysis (SNA) among academics, consultants and managers. Indeed, there is a growing literature that seeks to demonstrate how ‘invisible social networks’ might be revealed and leveraged for ‘visible results’ through management interventions. However, the seductive power of the network graphic has distracted attention away from a variety of emerging and long recognized concerns in SNA. For example, weaknesses exist in data collection techniques that often rely on nominal boundary‐setting and respondent recall. Non‐response can also be highly problematic. Increasingly, email data are being employed, yet this represents a poor proxy for relationships and raises issues of privacy. In displaying relational data, visualizations typically reify and ossify the network. Yet, individual perceptions of a network can vary greatly from unified visualizations, and their structure is typically fleeting. The aim of this paper is to draw together the diffuse literature concerning data input and visual output issues in SNA, in order to raise awareness among management researchers and practitioners. In doing so, the nature and impact of such weaknesses are discussed, as are ways in which these might be resolved or mitigated.     

Local perspectives on rural housing affordability and implications for the localism agenda in England

Drawing on consultation meetings with eight community groups across rural England, this paper examines local perspectives on housing affordability, and the consequences of low levels of ‘within area’ housing access for rural economies and communities, contrasting the reflective understanding of residents with normative and established perspectives on the same issues. Because it now seems likely that rural planning policy in England will, in some measure, be reconstructed from the bottom-up, prioritising local control, an analysis of residents' perspectives gives some insight into the shape of future policy intervention. The research reveals a highly nuanced understanding of affordability and the development needs of villages. Sometimes local views – particularly those of commuting or retired households – are dismissed as being motivated by NIMBYism. But this is a partial truth, with rural residents displaying reflective dissatisfaction with official perspectives on rural housing problems.     

What's in the “old boys” network? Accessing social capital in gendered and racialized networks

Network processes have long been implicated in the reproduction of labor market inequality, but it remains unclear whether white male networks provide more social capital resources than female and minority networks. Analysis of nationally representative survey data reveals that people in white male networks receive twice as many job leads as people in female/minority networks. White male networks are also comprised of higher status connections than female/minority networks. The information and status benefits of membership in these old boy networks accrue to all respondents and not just white men. Furthermore, gender homophilous contacts offer greater job finding assistance than other contacts. The results specify how social capital flows through gendered and racialized networks.     

Dams,barriers and beating yourself up: shame in groupwork for addressing sexual offending

ABSTRACT

Shame is a powerful emotional experience embedded in prevailing social and cultural norms. It is the judgement or fear of judgement for who we are rather than what we have done. Braithwaite proposes shame can be re-integrative or stigmatising, where re-integrative shaming condemns the behaviour not the person, to enable their re-entry into society. Shame is relevant to sexual offending and its treatment, yet little research has explored how it is expressed or responded to in treatment programmes. We applied conversation analysis and discourse analysis to examine expressions of shame in 12 video-recorded sessions of a court mandated groupwork programme addressing sexual offending. Both social workers and the other men on the programme distinguished between being a bad person (shame) and being responsible for a bad act (guilt) as a way to empathise with the individual, build motivation, instil hope and leverage optimism towards positive change. We demonstrate that shame constitutes topics, resources and actions drawn on to achieve the programme’s rehabilitative aims, including separating the person from the behaviour, as per re-integrative shaming, demonstrating empathy and congruence, and motivating change. We discuss the paradoxes and dilemmas of shame for practice that addresses sexual offending.     

Predicting losses of residential structures in the state of Florida by the public hurricane loss evaluation model

As an environmental phenomenon, hurricanes cause significant property damage and loss of life in coastal areas almost every year. Although a number of commercial loss projection models have been developed to predict the property losses, only a handful of studies are available in the public domain to predict damage for hurricane prone areas. The state of Florida has developed an open, public model for the purpose of probabilistic assessment of risk to insured residential property associated with wind damage from hurricanes. The model comprises three components; viz. the atmospheric science component, the engineering component and the actuarial science component. The atmospheric component includes modeling the track and intensity life cycle of each simulated hurricane within the Florida threat area. Based on historical hurricane statistics, thousands of storms are simulated allowing determination of the wind risk for all residential Zip Code locations in Florida. The wind risk information is then provided to the engineering and actuarial components to model damage and average annual loss, respectively. The actuarial team finds the county-wise loss and the total loss for the entire state of Florida. The computer team then compiles all information from atmospheric science, engineering and actuarial components, processes all hurricane related data and completes the project. The model was submitted to the Florida Commission on Hurricane Loss Projection Methodology for approval and went through a rigorous review and was revised as per the suggestions of the commission. The final model was approved for use by the insurance companies in Florida by the commission. At every stage of the process, statistical procedures were used to model various parameters and validate the model. This paper presents a brief summary of the main components of the model (meteorology, vulnerability and actuarial) and then focuses on the statistical validation of the same.