The workhouse populations of Lancashire in 1881

This article investigates the characteristics of the workhouse populations in Lancashire in 1881. The analysis is based on the snapshot view provided by the 1881 census and, despite the limitations of such an approach, this large-scale survey reveals significant variations in the experience of poverty and local relief policies in a largely industrial region that had been at the forefront of the anti-poor law movement. The workhouse populations are shown to be diverse, and contrast markedly with pauper populations previously studied. Lancashire's Poor Law Unions are divided into three types: conurbation, urban industrial and rural. These three groups appear to represent three different patterns of workhouse residency. The workhouse populations in rural Lancashire are broadly similar to those discussed elsewhere, being dominated by elderly males. However, urban industrial workhouse populations contained large numbers of adults of working age and the absence of children from workhouses in the conurbation is particularly striking.     

The Effect of Misclassification Costs on Neural Network Classifiers

The potential of neural networks for classification problems has been established by numerous successful applications reported in the literature. One of the major assumptions used in almost all studies is the equal cost consequence of misclassification. With this assumption, minimizing the total number of misclassification errors is the sole objective in developing a neural network classifier. Often this is done simply to ease model development and the selection of classification decision points. However, it is not appropriate for many real situations such as quality assurance, direct marketing, bankruptcy prediction, and medical diagnosis where misclassification costs have unequal consequences for different categories. In this paper, we investigate the issue of unequal misclassification costs in neural network classifiers. Through an application in thyroid disease diagnosis, we find that different cost considerations have significant effects on the classification performance and that appropriate use of cost information can aid in optimal decision making. A cross-validation technique is employed to alleviate the problem of bias in the training set and to examine the robustness of neural network classifiers with regard to sampling variations and cost differences.     

Outsourcing Decisions and Managerial Incentives*

An agency model is presented in which outsourcing strictly dominates in-house production. We argue that firms outsource in order to improve managerial incentives. Conditions are established under which the firm is strictly better off with outsourcing. The benefit of outsourcing, however, is constrained by the trade-off between the incremental coordination costs of outsourcing and the improved incentive structure. The optimal contract is also shown to be a function of whether or not the firm is publicly held. For a publicly held firm, the contract is constant. For a privately held supplier, the contract is likely to be of a cost-sharing type. These findings offer preliminary incentive explanations for commonly observed outsourcing practices.     

Severance Payments and Firm–specific Human Capital

What effect does employment protection through severance payments have on the behaviour of employed workers? We analyse this issue within a stochastic two–period framework where workers decide on human capital investments and find two competing effects: severance payments imply higher job security that fosters human capital formation. At the same time, a lay–off is perceived by the workers to be a weaker penalty if severance payments are provided. This incentive lowers their optimal amount of firm–specific investments. Which effect prevails on balance depends on the distribution of investment returns among firm and workers. For strong positive reactions, employment protection is also in the interests of the firm.     

Generalized phase I-II designs to increase long term therapeutic success rate

Designs for early phase dose finding clinical trials typically are either phase I based on toxicity, or phase I-II based on toxicity and efficacy. These designs rely on the implicit assumption that the dose of an experimental agent chosen using these short-term outcomes will maximize the agent's long-term therapeutic success rate. In many clinical settings, this assumption is not true. A dose selected in an early phase oncology trial may give suboptimal progression-free survival or overall survival time, often due to a high rate of relapse following response. To address this problem, a new family of Bayesian generalized phase I-II designs is proposed. First, a conventional phase I-II design based on short-term outcomes is used to identify a set of candidate doses, rather than selecting one dose. Additional patients then are randomized among the candidates, patients are followed for a predefined longer time period, and a final dose is selected to maximize the long-term therapeutic success rate, defined in terms of duration of response. Dose-specific sample sizes in the randomization are determined adaptively to obtain a desired level of selection reliability. The design was motivated by a phase I-II trial to find an optimal dose of natural killer cells as targeted immunotherapy for recurrent or treatment-resistant B-cell hematologic malignancies. A simulation study shows that, under a range of scenarios in the context of this trial, the proposed design has much better performance than two conventional phase I-II designs.     

Research evidence utilization in policy development by child welfare administrators

An exploratory qualitative study was conducted to explore how child welfare administrators use research evidence in decision-making. Content analysis revealed that a cultural shift toward evidence-based practice (EBP) is occurring in Canadian child welfare organizations and multiple types of evidence inform policy decisions. Barriers to using evidence include individual, organizational, and environmental factors. Facilitating factors include the development of internal champions and organizational cultures that value EBP. Integrating research into practice and policy decisions requires a multifaceted approach of creating organizational cultures that support research utilization and supporting senior bureaucrats to use research evidence in policy development.     

When in Rome,Do as the Romans Do: The Acculturation of Generalized Trust among Immigrants in Western Europe

The purpose of the article is to examine whether an acculturation of trust takes place among non-western immigrants upon migrating to Western Europe and whether inclusionary integration policies have an effect on this process. Building on the second and third wave of the European Social Survey (ESS) we show that an acculturation of trust does take place, but that integration policy does not affect this process. In spite of some variation across destination countries, we also find that second generation immigrants tend to adapt more to the level of trust of natives in the destination country than first generation immigrants do. This indicates that the acculturation of trust is strengthened with the second generation in the country. The results hold up when controlling for confounding variables including the trust in the country of origin of immigrants.     

The Social Media Release as a public relations tool: Intentions to use among B2B bloggers

The Social Media Release (SMR) is emerging as a potentially powerful public relations tool in a world of social network media, particularly when targeted at influential bloggers. The research described here studies the factors that influence bloggers to use SMRs, using the Technology Acceptance Model as a theoretical framework, concentrating specifically on their perceptions of usefulness and ease of use.