Whose space is it anyway? A study of young people's interaction with security guards in New South Wales

Abstract

Limited research has been conducted in relation to the impact of private policing on young people. Research has primarily focused on young people and their use of public space, their use of the street or the policing of working class families and their children. This paper outlines an investigation of young peoples use of public spaces and their experiences of security guards within the greater Sydney metropolitan area of New South Wales. The paper also outlines the experiences of shopping centre managers in relation to the management of young people within their centres. The research found that young people are over policed within public spaces and especially in shopping complexes. Young people are primarily over policed within these spaces because of the perceived fears other groups within the community hold in relation to young people, especially those in groups.     

Microsocial Implications of the Macrostructural Distribution of Social Resources

Abstract

The general purpose of this paper is to develop an explanation of how the macrostructural distribution of social resources affects the microsocial structure of personal social networks and, therefore, constraints on individual purposive action.

Specifically, the paper attempts to provide a theoretical integration for two sets of recent findings; those noting status-related variations in personal network structures and those noting differential success in occupational attainment as a function of personal network structure and use.

It is suggested that the effects of macrosocial and microsocial structure on purposive action in general can now be understood using a social resources perspective.     

When safety culture backfires: Unintended consequences of half-shared governance in a high tech workplace

This paper applies concepts from the sociology and anthropology of organizations to understand limits to the implementation of a more effective safety culture in the workplace. It highlights unintended consequences of combining bureaucratic control and shared governance and identifies sources of inertia within already existing safety cultures. The data come from focus group interviews with workers in a research and development facility of a multinational corporation in the Western U.S. It is found that safety protocols, rules, and rhetoric, combined with efforts to give workers more responsibility for safety in the workplace, create tendencies toward worker alienation, shame with regard to injuries, complacency, and fear of bureaucratic processes. Therefore it appears that some efforts to create safety culture in the workplace may unintentionally undermine the goal of manufacturing safety.     

Pandemic Recovery Analysis Using the Dynamic Inoperability Input-Output Model

Economists have long conceptualized and modeled the inherent interdependent relationships among different sectors of the economy. This concept paved the way for input-output modeling, a methodology that accounts for sector interdependencies governing the magnitude and extent of ripple effects due to changes in the economic structure of a region or nation. Recent extensions to input-output modeling have enhanced the model's capabilities to account for the impact of an economic perturbation; two such examples are the inoperability input-output model^{( 1 , 2 )} and the dynamic inoperability input-output model (DIIM).^{( 3 )} These models introduced sector inoperability, or the inability to satisfy as-planned production levels, into input-output modeling. While these models provide insights for understanding the impacts of inoperability, there are several aspects of the current formulation that do not account for complexities associated with certain disasters, such as a pandemic. This article proposes further enhancements to the DIIM to account for economic productivity losses resulting primarily from workforce disruptions. A pandemic is a unique disaster because the majority of its direct impacts are workforce related. The article develops a modeling framework to account for workforce inoperability and recovery factors. The proposed workforce-explicit enhancements to the DIIM are demonstrated in a case study to simulate a pandemic scenario in the Commonwealth of Virginia.     

Parental same-sex relationships, family instability, and subsequent life outcomes for adult children: Answering critics of the new family structures study with additional analyses

The July 2012 publication of my study on the outcomes of young adults who report parental same-sex relationship behavior raised a variety of questions about the New Family Structures Study and my analyses and interpretations of it. This follow-up article seeks to address a variety of the more common criticisms that have been raised, to offer new commentary and analyses, and to pose questions for future analysts of the NFSS and other datasets that are poised to consider how household dynamics are associated with youth and young-adult outcomes. The new analyses I present here still reveal numerous differences between adult children who report maternal same-sex behavior (and residence with her partner) and those with still-married (heterosexual) biological parents. Far fewer differences appear between the former and several other groups, most notably never-married single mothers.     

Effect of Inventory Information Discrepancy in a Drop‐Shipping Supply Chain

This article investigates the impact of information discrepancy between a drop‐shipper and an online retailer on the drop‐shipping supply chain performance. The inventory information misalignment between them contributes to the failure of order fulfillment and demand satisfaction, and hence the associated penalties are incurred. In this article, we first analyze the penalties of ignoring such information discrepancy on both the drop‐shipper and the online retailer. We then assess the impact of information discrepancy on both parties when the drop‐shipper understands the existence of the information discrepancy but is not able to eliminate the errors. The numerical experiments indicate that both parties can have significant amount of the percentage cost reductions if the information discrepancy can be eliminated, and the potential savings are substantial especially when the errors have large variability. Furthermore, we observe that the online retailer is more vulnerable to information discrepancy than the drop‐shipper, and the drop‐shipper is likely to suffer from the online retailer's underestimation of the physical inventory level more than the problem of its overestimation. Moreover, even if eliminating errors is not possible, both parties could still benefit from taking the possibility of errors into consideration in decision making.     

Coherence principles in interval‐based dose finding

This paper studies the notion of coherence in interval‐based dose‐finding methods. An incoherent decision is either (a) a recommendation to escalate the dose following an observed dose‐limiting toxicity or (b) a recommendation to deescalate the dose following a non–dose‐limiting toxicity. In a simulated example, we illustrate that the Bayesian optimal interval method and the Keyboard method are not coherent. We generated dose‐limiting toxicity outcomes under an assumed set of true probabilities for a trial of n=36 patients in cohorts of size 1, and we counted the number of incoherent dosing decisions that were made throughout this simulated trial. Each of the methods studied resulted in 13/36 (36%) incoherent decisions in the simulated trial. Additionally, for two different target dose‐limiting toxicity rates, 20% and 30%, and a sample size of n=30 patients, we randomly generated 100 dose‐toxicity curves and tabulated the number of incoherent decisions made by each method in 1000 simulated trials under each curve. For each method studied, the probability of incurring at least one incoherent decision during the conduct of a single trial is greater than 75%. Coherency is an important principle in the conduct of dose‐finding trials. Interval‐based methods violate this principle for cohorts of size 1 and require additional modifications to overcome this shortcoming. Researchers need to take a closer look at the dose assignment behavior of interval‐based methods when using them to plan dose‐finding studies.