Rethinking social work ethics: what is the real question? Responding to Stephen Webb's ‘Against difference and diversity in social work’

Jose J. Rethinking social work ethics: what is the real question? Responding to Stephen Webb's ‘Against difference and diversity in social work’ Int J Soc Welfare 2010: 19: 246–252 © 2009 The Author(s), Journal compilation © 2009 Blackwell Publishing Ltd and the International Journal of Social Welfare. In his recent article, Stephen Webb argued that the real question for social work ethics concerns ‘recognising the Same and of restoring the principles of equality and social justice’. This argument also included raising questions about what should be considered an appropriate philosophical basis for progressive social work ethics. In his view, social work's emancipatory potential has been blunted by overstated and philosophically ill‐informed human rights claims about difference and diversity. He suggested that French philosopher Alain Badiou offers social workers a ‘set of conceptual devices for rethinking social work ethics’. I argue that pressing his points into Badiou's philosophical mould is unlikely to lead to a progressive social work practice, let alone solve the issues identified by Webb. Badiou's philosophical pronouncements about ethics are of questionable value and offer little or no assistance to social workers seeking to establish an ethical grounding for their professional practice.     

The Determination of Social Need—A Model of Need Statements in Social Administration

It is suggested that much of the confusion around the use of the concept of social need in social administration is that need has been conceptualized primarily within a positivist paradigm, with the implication that it is objectively measurable. An alternative model is proposed, which is a model of need statements rather than need per se, so that the focus of study is the definition of need and the person or group making that judgment. This model incorporates the experience of the need definer, and the data base on which the need judgment is made.     

Reliable error estimation for Sobol’ indices

In the field of sensitivity analysis, Sobol’ indices are sensitivity measures widely used to assess the importance of inputs of a model to its output. The estimation of these indices is often performed through Monte Carlo or quasi-Monte Carlo methods. A notable method is the replication procedure that estimates first-order indices at a reduced cost in terms of number of model evaluations. An inherent practical problem of this estimation is how to quantify the number of model evaluations needed to ensure that estimates satisfy a desired error tolerance. This article addresses this challenge by proposing a reliable error bound for first-order and total effect Sobol’ indices. Starting from the integral formula of the indices, the error bound is defined in terms of the discrete Walsh coefficients of the different integrands. We propose a sequential estimation procedure of Sobol’ indices using the error bound as a stopping criterion. The sequential procedure combines Sobol’ sequences with either Saltelli’s strategy to estimate both first-order and total effect indices, or the replication procedure to estimate only first-order indices.     

Exact estimation of multiple directed acyclic graphs

This paper considers structure learning for multiple related directed acyclic graph (DAG) models. Building on recent developments in exact estimation of DAGs using integer linear programming (ILP), we present an ILP approach for joint estimation over multiple DAGs. Unlike previous work, we do not require that the vertices in each DAG share a common ordering. Furthermore, we allow for (potentially unknown) dependency structure between the DAGs. Results are presented on both simulated data and fMRI data obtained from multiple subjects.     

Empirical characteristic function tests for GARCH innovation distribution using multipliers

Goodness-of-fit tests for the innovation distribution in GARCH models based on measuring deviations between the empirical characteristic function of the residuals and the characteristic function under the null hypothesis have been proposed in the literature. The asymptotic distributions of these test statistics depend on unknown quantities, so their null distributions are usually estimated through parametric bootstrap (PB). Although easy to implement, the PB can become very computationally expensive for large sample sizes, which is typically the case in applications of these models. This work proposes to approximate the null distribution through a weighted bootstrap. The procedure is studied both theoretically and numerically. Its asymptotic properties are similar to those of the PB, but, from a computational point of view, it is more efficient.     

World Class Manufacturing: Further Evidence in the Lean Production Debate1

This paper reports the results of a study into the performance and management practices of 18 autocomponents plants, nine of which were located in the UK and nine in Japan. The study compared the performance of these plants and used quantitative measures to test the use of lean production techniques among the high performers. Five plants displayed high performance on measures of both productivity and quality. All of these were located in Japan. Several measures of management practice provided some support for the lean production model, particularly in the area of process discipline and control; measures of human resource management policy and work organization proved less significant. Contextual factors pointed to the conditions necessary to support lean production; higher performing plants had more stable demand and lower absenteeism.     

Forest ethnography: An approach to study the environmental history and political ecology of urban forests

Urban Ecosystems - A landscape succession paradigm has shaped much of our understanding about the processes of forest emergence and transformation in the United States. Drawing heavily from theory...