Aerodynamic roughness variation with vegetation: analysis in a suburban neighbourhood and a city park

Urban Ecosystems - Local aerodynamic roughness parameters (zero-plane displacement, z d , and aerodynamic roughness length, z 0 ) are determined for an urban park and a suburban neighbourhood with...     

Beyond the heartlands: deindustrialization,naturalization and the meaning of an ‘industrial’ tradition

Deindustrialization is a complex and multifaceted series of processes and transitions, reflecting the equally complicated web of social relationships and interdependencies that constitute(d) an industrial society. Contemporary scholars have looked beyond just the economic impact of industrial loss, to the cultural, temporal and spatial legacies and impacts wrought by the mass closures of the 1980s, as well as the continuing presence of an industrial identity in struggles over representation and regeneration. However, deindustrialization has a history that precedes the volatility and culmination of that period, and has impacted upon a more geographically diverse range of former industrial locations than are commonly represented. The narratives that surround some sites are complicated by their displacement in time, place and discourse; they lack the political capital of an ‘industrial’ identity through this disassociation. In this article I aim to go beyond what we might consider the industrial ‘heartlands’ of the UK to a place that has felt the impact of deindustrialization, but which falls outside of the usual representations of the UK's industrial past. I explore how the industrial identity and memory of a place can be naturalized and selectively reworked for the needs of the hour, the very meaning of ‘industrial’ altered in the process. I argue that for sites unable to access or utilize the imagery of modern, heavy industry for community or promotional aims, deindustrialization becomes a process of rewriting an historic identity – one that sheds new light on industrial loss in diverse situations, and at an ever‐increasing distance from closure.     

Neoconservatism,bohemia and the moral economy of neoliberalism

This paper is concerned with the moral economy of neoliberalism. The goal is to show the development of this moral economy through the discourse of neoconservatism. The research pays particular attention to the incorporation of aspects of bohemia in the construction of this moral economy. The paper charts the development of the neoconservative moral critique of political modernity in the second half of the twentieth century by drawing on the leading neoconservative figures, Norman Podhoretz and Irving Kristol. The first part of this research makes clear the homology between the neoconservative critique of bohemia and excessive capitalism, where both are accused of nihilism as part of the moral abyss of liberal modernity. The second part of this research shows how, through the work of George Gilder, neoconservatives re-imagined a moral economy for capitalism that overcame the apparent nihilism whilst retaining the unrestrained nature of accumulation. Through a celebration of the heroic entrepreneur, neoliberalism’s moral economy is based upon a celebration of risk, an embrace of chance and an overturning of bourgeois morality. Neoliberalism incorporates the bohemian critique of bourgeois capitalism into a critique of the social democratic welfare state which, by prioritising safety over pleasure and excess, is deemed to be both incapable of offering spiritual satisfaction as well as being ill suited to a post-Fordist economy. The flexible nature of bohemia that rebelled against organised strictures of bourgeois morality and Fordist organisation is welcomed by the neoliberal turn. The spiritual satisfaction of life on the edge offered to the neoliberal subject acts as a form seduction and mirrors the creative freedom offered through bohemia. Neoliberalism’s gift, however, comes at a price, the edgy existence is coupled with removal of social safety nets and increasing insecurity and precariatisation.     

The push for transgender inclusion: Exploring boundary spanning in the gay–straight alliance

Gay–straight alliance (or gender‐sexuality alliance; GSA) is a high‐school based club aimed at providing a safer environment for sexual and gender minority youth as well as their straight allies. Yet, as a club historically rooted in addressing sexual orientation‐related concerns, less attention has been given to understanding the changing relational dynamics of internal GSA activities aimed at expanding membership boundaries through the promotion of transgender inclusivity. I address this by bridging existing scholarship on GSAs, social movements, and the sociology of culture to showcase the impact boundary‐spanning strategies are having on GSA mobilization, in‐group solidarity, and external political and social activism. My findings reveal that membership boundary negotiations around gender diversity issues are shifting the social landscape of these clubs. Emerging barriers that impede boundary‐spanning efforts are also highlighted and discussed. More broadly, I generate new theoretical insights into how boundary spanning can shape political and social activism as well as offer promising future research directions in this area.     

The psychometric and empirical properties of measures of risk preferences

We examine the psychometric and empirical properties of some commonly used survey-based measures of risk preferences in a population-based sample of 11,000 twins. Using a model that provides a general framework for making inferences about the component of measured risk attitudes that is not due to measurement error, we show that measurement-error adjustment leads to substantially larger estimates of the predictive power of risk attitudes, of the size of the gender gap, and of the magnitude of the sibling correlation. Risk attitudes are predictive of investment decisions, entrepreneurship, and drinking and smoking behaviors; are robustly associated with cognitive ability and personality; and our estimates are often larger than those in the literature. Our results highlight the importance of adjusting for measurement error across a wide range of empirical settings.     

Factors that Determine or Influence Managerial Innovation in Public Contexts: The Case of Local Performance Management

The use of Performance-Based Management (PBM) by French public organizations has sharply accelerated over the last few years. Moreover, very few studies have analyzed this change. The object of this article is thus to conduct an in-depth analysis of the dynamics of managerial innovation in three French local authorities via the study of the factors that foster the adoption and implementation of PBM by this type of organization. We demonstrate a tendency to overestimate the explanatory power of the neo-institutionalist theories. Indeed, our analysis illustrates a balanced vision of the human, technical and contextual factors at the origin of this type of managerial innovation.     

Model averaging for treatment effect estimation in subgroups

In many clinical trials, biological, pharmacological, or clinical information is used to define candidate subgroups of patients that might have a differential treatment effect. Once the trial results are available, interest will focus on subgroups with an increased treatment effect. Estimating a treatment effect for these groups, together with an adequate uncertainty statement is challenging, owing to the resulting “random high” / selection bias. In this paper, we will investigate Bayesian model averaging to address this problem. The general motivation for the use of model averaging is to realize that subgroup selection can be viewed as model selection, so that methods to deal with model selection uncertainty, such as model averaging, can be used also in this setting. Simulations are used to evaluate the performance of the proposed approach. We illustrate it on an example early‐phase clinical trial.     

Evaluation of Inhaled Versus Deposited Dose Using the Exponential Dose‐Response Model for Inhalational Anthrax in Nonhuman Primate,Rabbit, and Guinea Pig

The application of the exponential model is extended by the inclusion of new nonhuman primate (NHP), rabbit, and guinea pig dose‐lethality data for inhalation anthrax. Because deposition is a critical step in the initiation of inhalation anthrax, inhaled doses may not provide the most accurate cross‐species comparison. For this reason, species‐specific deposition factors were derived to translate inhaled dose to deposited dose. Four NHP, three rabbit, and two guinea pig data sets were utilized. Results from species‐specific pooling analysis suggested all four NHP data sets could be pooled into a single NHP data set, which was also true for the rabbit and guinea pig data sets. The three species‐specific pooled data sets could not be combined into a single generic mammalian data set. For inhaled dose, NHPs were the most sensitive (relative lowest LD₅₀) species and rabbits the least. Improved inhaled LD₅₀s proposed for use in risk assessment are 50,600, 102,600, and 70,800 inhaled spores for NHP, rabbit, and guinea pig, respectively. Lung deposition factors were estimated for each species using published deposition data from Bacillus spore exposures, particle deposition studies, and computer modeling. Deposition was estimated at 22%, 9%, and 30% of the inhaled dose for NHP, rabbit, and guinea pig, respectively. When the inhaled dose was adjusted to reflect deposited dose, the rabbit animal model appears the most sensitive with the guinea pig the least sensitive species.