Heading South: Time to Abandon the ‘Parallel Worlds’ of International Non-Governmental Organization (NGO) and Domestic Third Sector Scholarship?

Since third sector research emerged as a full-fledged interdisciplinary academic field during the late 1980s, a separation has usually been maintained—in common with many other social science disciplines—between communities of researchers who are primarily concerned with the study of the third sector in rich Western countries and those who work on the third sector in the so-called developing world. Whilst internationally focused researchers tend to use the language of ‘non-governmental organizations’, those in domestic settings usually prefer the terms ‘non-profit organization’ or ‘voluntary organization’, even though both subsectors share common principles and are equally internally diverse in terms of organisations and activities. Whilst there has long been common-sense logic to distinguishing between wealthier and poorer regions of the world based on differences in the scale of human need, the ‘developed’ versus ‘developing’ category can also be criticised as being rather simplistic and unhelpfully ideological. As the categories of ‘developing’ and ‘developed’ countries become less clear-cut, and global interconnectedness between third sectors and their ideas grows, this paper argues that we need to reconsider the value of maintaining these parallel worlds of research, and instead develop a more unified approach.     

RACIALIZING CULTURE IS ORDINARY1

This article engages a discussion of Raymond Williams claim that culture is ordinary to explore some of the ways in which racializing culture is embedded in everyday interactions and processes of identification that found subjectivity. It argues that there is a pressing need for social policy analysts to come to grips with the mechanisms through which ‘culture’ comes to be racialized and an object/subject of governance and suggests that current, high-profile articulations of the ‘problems’ of multiculturalism, profoundly hinder such a development.     

Quantile plots for mean effects in the presence of variance effects for 2k-p designs

In robust parameter design, variance effects and mean effects in a factorial experiment are modelled simultaneously. If variance effects are present in a model, correlations are induced among the naive estimators of the mean effects. A simple normal quantile plot of the mean effects may be misleading because the mean effects are no longer iid under the null hypothesis that they are zero. Adjusted quantiles are computed for the case when one variance effect is significant and examples of 8-run and 16-run fractional factorial designs are examined in detail. We find that the usual normal quantiles are similar to adjusted quantiles for all but the largest and smallest ordered effects for which they are conservative. Graphically, the qualitative difference between the two sets of quantiles is negligible (even in the presence of large variance effects) and we conclude that normal probability plots are robust in the presence of variance effects.     

ALL-BIAS DESIGNS FOR POLYNOMIAL SPLINE REGRESSION MODELS

Polynomial spline regression models of low degree have proved useful in modeling responses from designed experiments in science and engineering when simple polynomial models are inadequate. Where there is uncertainty in the number and location of the knots, or breakpoints, of the spline, then designs that minimize the systematic errors resulting from model misspecification may be appropriate. This paper gives a method for constructing such all‐bias designs for a single variable spline when the distinct knots in the assumed and true models come from some specified set. A class of designs is defined in terms of the inter‐knot intervals and sufficient conditions are obtained for a design within this class to be all‐bias under linear, quadratic and cubic spline models. An example of the construction of all‐bias designs is given.     

Determining the effects of intraclass correlation on factorial experiments

This paper considers the effects of the presence of eqmi-correlation between observations in a k-way factorial experiment, A technique to provide unbiased F-tests is also constructed.     

PRODUCT DIVERSITY,DEMAND STRUCTURES,AND OPTIMAL TAXATION

This article studies optimal taxation in a general equilibrium macroeconomic model with endogenous entry. We compare the constant elasticity of substitution (CES) model to three alternative demand structures: oligopolistic competition in prices, oligopolistic competition in quantities, and translog preferences. Our economy is characterized by two distortions: a labor distortion due to the misalignment of markups on goods and leisure, and an entry distortion due to the misalignment of the consumer surplus effect and the profit destruction effect of entry. The two distortions interact in determining the wedge between the market‐driven and optimal level of product diversity. We show how optimal labor and entry taxes depend on the prevailing demand structure, the nature and size of entry costs, and the degree of substitutability between goods. (JEL E22, E61, E62)     

Evaluation of a Training to Reduce Provider Bias Toward Pregnant Patients With Substance Abuse

The objective of this article is not to present a scientific or systematic study, but to provide an initial framework for designing a training workshop to enhance health practitioners’ (nurses, social workers, physicians, etc.) knowledge regarding substance abuse treatment and to decrease their bias toward substance-abusing women, particularly pregnant women in rural communities. We incorporated the 4 Transdisciplinary Foundations from the Substance Abuse and Mental Health Services Administration Competencies Model, with specific competencies targeted that related to provider bias. After the conference, 52 of the 70 participants completed a questionnaire to self-assess knowledge level and confidence in skill related to substance abuse management. Participant mean scores were statistically significantly higher following the conference than 1 week prior (p < .001) in the area of “gender difference with substance abuse,” moving from an average of 2.6 to 4.5 on a 5-point Likert scale. Our conference was successful in increasing attendees’ knowledge about gender difference and substance abuse among pregnant patients.     

Preparing the next generation of researchers

This paper examines the needs of new and future social work researchers in the light of the overall aims of this particular project. The author is an aspiring ‘new’ researcher and will examine her own personal experience, to date, of being part of a postgraduate research programme in order to clarify how we might best ensure that the next generation of researchers can contribute to the strategy which is being developed. The paper reviews the author's experience of research training to test its adequacy in preparing the next generation to meet the demands required and in consideration of current professional develop ments around social work and social care. The paper will also consider who will be the members of this next generation and how the future agenda for the profession might potentially contribute to the development of a sound professional knowledge base and also influence the wider social science debate. The conclusions of this paper will draw together a number of key issues that have been highlighted so far and give a perspective on these which links values, knowledge and skills in ways which might usefully promote further debate and constructive resolution.     

Master Scheduling in Assemble-To-Order Environments: A Capacitated Multiobjective Lot-Sizing Model

Basic characteristics of an assemble-to-order environment make effective master scheduling extremely difficult. Limited resource capacities and dynamic customer end-item demand contribute to the complexity of the master production scheduling problem. To gain flexibility and responsiveness within this system, the master production schedule (MPS) focuses at the component level. This research proposes a master scheduling technique for manufactured components which combines a multiobjective capacitated multi-item/multi-stage lot-sizing model with an interactive multiple objective optimization solution procedure. To evaluate the model's performance as a realistic and practical master scheduling tool, this study focuses on the National Cash Register (NCR) electronics manufacturing facility in Columbia, South Carolina.