Exploring literacy in Social Work Education: a social practices approach to student writing

The literacy of social workers has been highlighted as a concern by the strengthening of both entry and assessment literacy requirements of the new social work degree in the United Kingdom. This paper challenges the traditional perception of student writing, the specific focus of this paper, as being associated with basic literacy and skill acquisition, by presenting a ‘social practices’ approach to student writing in social work education. Whilst in no way contradicting the belief that literacy is central to professional social work competence, and thus an essential aspect of social work education, this approach provides a social and cultural framework for educators to reflect upon what it means for students to engage in writing in social work courses. The paper focuses in particular on meaning making experiences of non‐traditional (including Black and Minority Ethnic) students engaging in academic writing. The paper is based upon research which explores the experiences of a socially and ethnically diverse group of social work students engaged in academic writing on a diploma in social work programme. Whilst representing work in development, it suggests that the recognition of issues such as language history and identity are of significant importance for social work programmes striving to ensure that non‐traditional students are not disadvantaged in their academic writing.     

A study of mediating variables of the relationship between 360° feedback and employee performance

The 360° feedback has been linked to several positive outcomes like improved performance, better interpersonal communication and smoother work relationships. Both academicians and practitioners would like more clarity regarding the link between 360° feedback and employee performance and the mediating factors in this relationship. This study empirically examines these mediating effects with a sample of executives (N = 198) working in four organizations in western part of India. The results show that interpersonal communication and quality of working life have a complete mediating effect. Leader–member exchange quality and perceived organizational support were found to have a partial but significant mediating effect. An elementary form of an integrated model, which includes all the four mediating variables and their interrelationships, has been developed conceptually. This model is examined and built up empirically using structural equation modelling.     

Simultaneous estimation of λs for poisson distributions

Consider the problem of simultaneously estimating an integral power of the parameters of POISSOK populations using independent samples. Let the loss be the sum of quadratic losses for the components. An estimator which is better than the unbiased esti¬mator is obtained     

Confidence Intervals for Survival Probabilities: A Comparison Study

The confidence interval of the Kaplan–Meier estimate of the survival probability at a fixed time point is often constructed by the Greenwood formula. This normal approximation-based method can be looked as a Wald type confidence interval for a binomial proportion, the survival probability, using the “effective” sample size defined by Cutler and Ederer. Wald-type binomial confidence interval has been shown to perform poorly comparing to other methods. We choose three methods of binomial confidence intervals for the construction of confidence interval for survival probability: Wilson's method, Agresti–Coull's method, and higher-order asymptotic likelihood method. The methods of “effective” sample size proposed by Peto et al. and Dorey and Korn are also considered. The Greenwood formula is far from satisfactory, while confidence intervals based on the three methods of binomial proportion using Cutler and Ederer's “effective” sample size have much better performance.     

Trade and Factor Market Reforms in China

The benefits of the multi‐faceted liberalization of the Chinese economy can be seen in various indicators of economic development. The rate of growth of the economy, the flow of foreign investment in China, and rising quality of life are some of the indicators of gains from the liberalization process. Most of the research has focused on the role of trade reforms on the Chinese economy. There is, however, one unfinished agenda that has not been addressed adequately by policy makers as well as academia, i.e. labor‐sector reforms. In this paper, we analyze the effect of labor market liberalization in China using a Computable General Equilibrium (CGE) model. Most CGE models on China using a neoclassical approach assume that there is a single wage rate for the economy. This is a simplifying assumption and has strong implications. Studies show that inter‐industry wage differentials persist even after accounting for obvious explanations such as differences in human capital or job hazard. Inter‐industry structural rigidities in developing countries lead to wage differentials. In China, labor mobility from the rural to the urban sector is restricted. Furthermore, China is on its way to joining the WTO agreement. As a signatory to the WTO agreement, China would be required to reform its trade sector by eliminating tariffs. In this paper, we explicitly model wage differentials in the case of the Chinese economy. Various counterfactual experiments have been conducted to introduce efficiency by the removal of factor market differentials in China in the presence and absence of tariff and non‐tariff barriers. Our results indicate that factor market reforms are essential to the realization of full gains from accession to the WTO agreement.     

Of monsters

Monsters gave birth to modernity: those unnamable figures of horror and fascination shadow civilization as its constitutive and abjected discontent. In Europe, from the late eighteenth century on, the term monstrosity mobilized a set of discursive practices that tied racial and sexual deviancy to an overall apparatus of discipline, and, later in the nineteenth century, to the emergence of biopolitics. This article draws a history of monstrosity through overlapping discourses, tying the contemporary figure of the monster-terrorist to the sexual and racial deviancy of what Michel Foucault termed the ‘Abnormals.’ Beginning with an engagement with Deleuze's and Foucault's notion of ‘biopolitics,’ this article follows the emergence of the monster-terrorist in that subfield of policy studies known as ‘terrorism studies.’ This article argues that specific and implicit conceptions of the civilized psyche, linked to norms of the heterosexual family, ground the figure of the Islamic terrorist in an older colonial discourse of the despotic and licentious Oriental male.     

Depletion

Abstract

In this article we explore the concept of depletion through social reproduction (DSR). We describe depletion, identify its key indicators and suggest different methodologies that could be used to measure it. We discuss issues having to do with gendered harm as well as questions about how depletion might be reversed. We conclude that recognizing DSR in this way can be a powerful tool for understanding the consequences of non-recognition of the value of domestic work to national economies, as well as the harm that might accrue in the doing of this work at both a systemic and individual level.     

结点水准网平差及精度评定的统计功能实现

指出结点水准网等权替代法进行平差计算的理论依据为序贯平差，在分析结点水准网序贯平差特点的基础上，给出了其逐次平差和精度评定的实现步骤。剖析了计算器中固化统计功能程序的实质，扩展了其应用范围，给出了在实数权情况下各统计功能的含义，结点水准网平差统计功能实现的方法，并通过算例进行了验证。     

Uncertainty and Variability Analysis in Multiplicative Risk Models

Currently, there is a trend away from the use of single (often conservative) estimates of risk to summarize the results of risk analyses in favor of stochastic methods which provide a more complete characterization of risk. The use of such stochastic methods leads to a distribution of possible values of risk, taking into account both uncertainty and variability in all of the factors affecting risk. In this article, we propose a general framework for the analysis of uncertainty and variability for use in the commonly encountered case of multiplicative risk models, in which risk may be expressed as a product of two or more risk factors. Our analytical methods facilitate the evaluation of overall uncertainty and variability in risk assessment, as well as the contributions of individual risk factors to both uncertainty and variability which is cumbersome using Monte Carlo methods. The use of these methods is illustrated in the analysis of potential cancer risks due to the ingestion of radon in drinking water.     

Mixed‐scale models for survival/sacrifice experiments

Information derived from interim sacrifices or on cause of death is routinely used in the statistical analyses of carcinogenicity experiments involving occult tumours. The authors describe a simple semiparametric model which does not require this information. Natural deaths during the experiment and the usual terminal sacrifice provide sufficient information to ensure that the tumour incidence rates, which are of primary interest in occult‐tumour studies, can be estimated nonparametrically. The advantages of this semiparametric approach to the analysis of survival/sacrifice experiments are illustrated using data from a study on benzyl acetate conducted under the U. S. National Toxicology Program. The results derived compare favourably with those obtained using a previously published approach to the analysis of tumorigenicity data.