Trope Control: The Costs and Benefits of Metaphor Unreliability in the Description of Empirical Phenomena*

The process of communicating and interpreting the meaning of metaphors in business writing is deeply unreliable. This stems from the structure of metaphors in which some of the characteristics of a source domain are transferred to a target domain. The precise selection of characteristics is made by the reader rather than the author of the metaphor, thus creating uncertainty of meaning. Although there are some benefits stemming from the inherent ambiguity of metaphor, the unreliability of the trope not only makes it impossible to choose between competing metaphors, but may distort our view of reality and thus lead to poor management decision‐making. Moreover, the unreliability of the interpretation process is so pronounced that some authors have attempted to reject the use of metaphor entirely. However, this paper argues that although it is impossible to avoid employing metaphor, contrary to the conventional wisdom in this subject area, it is possible to improve meaning reliability. Drawing on linguistic theory to explain the recommendations, and illustrative examples from business literature and practice, the papers offers several recommendations for so doing that may be applied throughout the Business and Management field.     

Inquiring Systems and Development Led Inquiry: Uniting the Efforts of Farmers,Development Professionals,and Researchers

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This paper introduces Development Led Inquiry (DLI) as an approach to improve situations incorporating relationships...     

Differential equation models for statistical functions

Differential equations have been used in statistics to define functions such as probability densities. But the idea of using differential equation formulations of stochastic models has a much wider scope. The author gives several examples, including simultaneous estimation of a regression model and residual density, monotone smoothing, specification of a link function, differential equation models of data, and smoothing over complicated multidimensional domains. This paper aims to stimulate interest in this approach to functional estimation problems, rather than provide carefully worked out methods.     

Motherhood Motivations: African Refugee Women Resettled in Australia and Return Visits to a Country of First Asylum

This article expands on conceptualizations of refugee “return” by examining why African women resettled as refugees in Australia return to visit the country of first asylum from which they were previously resettled. I show that their return visits do not relate to attachment to place, but are motivated by social obligations to practise “motherhood” to family members who, due to conflict‐induced displacement, remain in a country of first asylum. I argue that the phenomenon of refugee “return” cannot be conflated exclusively with return to country of origin but is, for African women in particular, centred on the reinvigoration of care relationships across diasporic settings of asylum in which family remain. Building on an emergent focus on feminization in migration studies, I show how these gendered dynamics of refugee “return” are an entry point from which to re‐consider how scholarship and policy take into account “family” in contexts of forced migration.     

Reaching out to Aggressive Children

Correspondence to Jo Carroll, 3 Barrow Close, Marlborough, Wiltshire SN8 2BD. Summary Social workers are increasingly being asked to offer therapeutichelp to young children who are persistently aggressive and defiant.The difficulties of working with such children, who appear toreject all efforts to help them, are recognized, and some guidanceis offered as to the timing of such work. Directive techniquesoften fail, as the children refuse to participate in any jointactivity. The value of non-directive play therapy as an approachto these children is outlined, and the practicalities of thistechnique are considered. Finally, a case study illustratesthe value of a non-directive approach with a particularly challengingchild.     

Computer-based scheduling of technical resources

This paper considers the design of a Scheduling Sub-System which could be attached to an existing computerised data processing system in order to enhance its overall operation. It draws heavily on the experience of the authors in designing a system to assist in the scheduling of video tape machines within BBC Television.     

A scientist's viewpoint on promoting effective use of experimental design: Ten things a scientist wants to know about experimental design

This paper tackles the practical application of statistical tools. Chemical development is a rich area for collaboration between statisticians and chemists, but most statisticians encounter difficulties in promoting the tools to this client group. This paper, presented from a chemist's perspective, is intended to help bridge the gap between the two professions. The paper explores differences in uptake and attitudes towards adopting these techniques and suggests what has hindered or helped the process of effective application of experimental design. Copyright © 2003 John Wiley & Sons, Ltd.     

Psychological Effects of Unemployment on Workers and Their Families

This paper reviews findings from a panel study of Boston area unemployed men and their families. Psychological effects of unemployment on workers and their wives are summarized, particularly for the first half year of joblessness. Family responses to job loss are also examined, including the role of the marital relationship in buffering workers' stress. Finally, policy and service implications of this research are discussed. Consideration is given not only to the mental health needs of workers, but to frequently overlooked qualities of efficacy and resilience among the unemployed.     

Approximate Bayesian Inference in Spatial Generalized Linear Mixed Models

Abstract.  In this paper we propose fast approximate methods for computing posterior marginals in spatial generalized linear mixed models. We consider the common geostatistical case with a high dimensional latent spatial variable and observations at known registration sites. The methods of inference are deterministic, using no simulation-based inference. The first proposed approximation is fast to compute and is 'practically sufficient', meaning that results do not show any bias or dispersion effects that might affect decision making. Our second approximation, an improvement of the first version, is 'practically exact', meaning that one would have to run MCMC simulations for very much longer than is typically done to detect any indication of error in the approximate results. For small-count data the approximations are slightly worse, but still very accurate. Our methods are limited to likelihood functions that give unimodal full conditionals for the latent variable. The methods help to expand the future scope of non-Gaussian geostatistical models as illustrated by applications of model choice, outlier detection and sampling design. The approximations take seconds or minutes of CPU time, in sharp contrast to overnight MCMC runs for solving such problems.