The Persistence of Neighboring as a Determinant of Community Attachment: A Community Field Perspective*

We examined the community field perspective as a complement to the linear‐development and systemic models of community attachment, wherein community attachment is defined as a social bond to the community of place. We empirically evaluated indicators of the actor's interaction within the social field, such as the perceived quality of neighboring and density of friendships, using social survey and census data from 99 communities in 1994 and 2004 and evaluated as well the percentage change in these indicators from 1994 to 2004. Results show that the community field perspective can complement previous approaches by highlighting the importance of perceived neighboring and friendship density and the persistence of perceived neighboring over time. We suggest implications for community development efforts aimed at enhancing community attachment.     

Measure for measure: evaluating performance and the arts organisation

This paper discusses the cultural policy and impacts of the application of performance indicators to subsidised arts organisations in Britain. The context of this study is the increased accountability and measurement of the outputs of arts organisations by government funding agencies, and the related drive for improved productivity and efficiency. In an extension of performance measurement regimes in ‘public good’ provision, and the arguments concerning economic importance of the cultural industries, the performing arts occupy an uncomfortable place as a pre-industrial activity being subjected to notions of economic efficiency. This discussion concerns the focus for analysis of the measurements used – the three-Es of economy, efficiency and effectiveness - and the rationale underlying their imposition. The outputs and performance indicators of the major subsidised arts organisations are then presented, based on a ten year time series, revealing declining audiences and production, but increasing ticket prices and expenditure, which arguably undermines the performing arts ‘merit good’ status.     

Quantifying the Hurricane Catastrophe Risk to Offshore Wind Power

The U.S. Department of Energy has estimated that over 50 GW of offshore wind power will be required for the United States to generate 20% of its electricity from wind. Developers are actively planning offshore wind farms along the U.S. Atlantic and Gulf coasts and several leases have been signed for offshore sites. These planned projects are in areas that are sometimes struck by hurricanes. We present a method to estimate the catastrophe risk to offshore wind power using simulated hurricanes. Using this method, we estimate the fraction of offshore wind power simultaneously offline and the cumulative damage in a region. In Texas, the most vulnerable region we studied, 10% of offshore wind power could be offline simultaneously because of hurricane damage with a 100‐year return period and 6% could be destroyed in any 10‐year period. We also estimate the risks to single wind farms in four representative locations; we find the risks are significant but lower than those estimated in previously published results. Much of the hurricane risk to offshore wind turbines can be mitigated by designing turbines for higher maximum wind speeds, ensuring that turbine nacelles can turn quickly to track the wind direction even when grid power is lost, and building in areas with lower risk.     

Distribution theory and inference for polynomial-normal densities

This paper considers a class of densities formed by taking the product of nonnegative polynomials and normal densities. These densities provide a rich class of distributions that can be used in modelling when faced with non-normal characteristics such as skewness and multimodality. In this paper we address inferential and computational issues arising in the practical implementation of this parametric family in the context of the linear model. Exact results are recorded for the conditional analysis of location-scale models and an importance sampling algorithm is developed for the implementation of a conditional analysis for the general linear model when using polynomial-normal distributions for the error.     

Transition from school for youths with a disability: issues and challenges

Australian research has demonstrated that students with a disability are more likely to remain out of the full‐time workforce. These research findings have been the catalyst for a call for a comprehensive career development and transition planning approach for all students with disabilities in schools as well as for employers to rethink the role of people with disabilities in the workforce. In the Australian context the transition from school for individuals with a disability is complicated by a disparate and fragmented group of service agencies providing a range of services, including employment, supported accommodation, recreation and leisure pursuits, as well as training and placement, along with, at times, a deep‐seated prejudice towards people with disabilities in the market place. This paper reviews a number of issues and challenges confronting individuals with a disability making the transition from school to the post‐school environment.     

Into the divide: community identities and the visualisation of place

This article discusses the experience of place in a profoundly divided urban area of Sheffield. At a time when the gap between affluence and poverty has reached its widest point since the 1960s, this article explores the relationship between individuals and their sense of place and of the trenchant divisions separating communities. The study employs various methods but centres upon the use of hand-drawn maps; creating a dialogue between the interviewers and a number of local residents. These maps and the accompanying commentaries demonstrate the diverse individual sense of a particular place and a dialectical sense of space. The resulting picture is one of both the persistence of historical divisions, suggesting regulation and control through planning and policing, but also of complex entanglements of social identities, habitus and place which defy easy categorisation.     

Maximum likelihood estimation of variance components in a completely random bib design

ABSTRACT

The purposes of this paper are to abstract from a number of articles variance component estimation procedures which can be used for completely random balanced incomplete block designs, to develop an iterated least squares (ITLS) computing algorithm for calculating maximum likelihood estimates, and to compare these procedures by use of simulated experiments. Based on the simulated experiments, the estimated mean square errors of the ITLS estimates are generally less than*those for previously proposed analysis of variance and symmetric sums estimators.