Disposable dispositions: reflections upon the work of Iris Marion Young in relation to the social oppression of autistic people

This brief commentary piece looks to apply the theories of Iris Marion Young to the social position and oppression of autistic people, as previously theorised by Milton. The concepts of ‘Asymmetrical symmetry’ and the ‘Five faces of oppression’ are explored in this regard. The article concludes by arguing that autistic people, particularly those who have significant intellectual impairments, can be socially marginalised to the extent of occupying the social position of ‘non-human’ with the staggering consequences for social well-being that this implies.     

Modeling U‐Shaped Exposure‐Response Relationships for Agents that Demonstrate Toxicity Due to Both Excess and Deficiency

Essential elements such as copper and manganese may demonstrate U‐shaped exposure‐response relationships due to toxic responses occurring as a result of both excess and deficiency. Previous work on a copper toxicity database employed CatReg, a software program for categorical regression developed by the U.S. Environmental Protection Agency, to model copper excess and deficiency exposure‐response relationships separately. This analysis involved the use of a severity scoring system to place diverse toxic responses on a common severity scale, thereby allowing their inclusion in the same CatReg model. In this article, we present methods for simultaneously fitting excess and deficiency data in the form of a single U‐shaped exposure‐response curve, the minimum of which occurs at the exposure level that minimizes the probability of an adverse outcome due to either excess or deficiency (or both). We also present a closed‐form expression for the point at which the exposure‐response curves for excess and deficiency cross, corresponding to the exposure level at which the risk of an adverse outcome due to excess is equal to that for deficiency. The application of these methods is illustrated using the same copper toxicity database noted above. The use of these methods permits the analysis of all available exposure‐response data from multiple studies expressing multiple endpoints due to both excess and deficiency. The exposure level corresponding to the minimum of this U‐shaped curve, and the confidence limits around this exposure level, may be useful in establishing an acceptable range of exposures that minimize the overall risk associated with the agent of interest.     

An Extension of the Epsilon-Skew-Normal Distribution

This article is related with the probabilistic and statistical properties of an parametric extension of the so-called epsilon-skew-normal (ESN) distribution introduced by Mudholkar and Hutson (2000 Mudholkar , G. S. , Hutson , A. D. ( 2000 ). The epsilon-skew-normal distribution for analyzing near-normal data . J. Statist. Plann. Infer. 83 : 291 – 309 .[Crossref], [Web of Science ®] , [Google Scholar]), which considers an additional shape parameter in order to increase the flexibility of the ESN distribution. Also, this article concerns likelihood inference about the parameters of the new class. In particular, the information matrix of the maximum likelihood estimators is obtained, showing that it is non singular in the special normal case. Finally, the statistical methods are illustrated with two examples based on real datasets.     

The calibration and cross-modal validation of ratio scales of political opinion in survey research

The aims of this paper are twofold: first, to set the ratio scaling of opinion in perspective by reviewing a series of laboratory and field experiments designed to build and validate ratio scales of political opinion; and second, to report in detail on the development of calibration procedures designed to obtain proportional judgments from respondents in a national survey.Paralleling explicitly a psychophysical paradigm established for the scaling of physical continua, these studies demonstrate that (1) the paradigm can be adapted to the scaling of sociopolitical opinions; (2) two measures suitable for use in surveys-magnitude estimation and line production-satisfy established psychophysical criteria for valid measures of response; (3) survey respondents can and do make reliable ratio estimates of strength of opinion; (4) scales measuring strength of political support, which are derived from the magnitude and line estimates of survey respondents, match closely the support scales derived in laboratory and field tests using such physical response modalities as handgrip and sound pressure; and (5) these calibration procedures can be incorporated in national opinion surveys.These results, especially the successful move from the laboratory to a conventional survey setting, provide social and behavioral scientists with a technique for generating response data that meet stringent measurement requirements. The calibration procedures described constitute a social metric that will enable researchers to test functional hypotheses in a more rigorous manner than is possible employing alternative scaling procedures.     

From Knowledge Engineering to Knowledge Management

Knowledge management is seen by many to be a prerequisite for the successful organization, and one that relies heavily, though not exclusively, on a sound technological infrastructure. A major drawback, though, with current technology (e.g. Lotus Notes and www) is its focus on information management and communication rather than on knowledge itself. What knowledge management needs is tools and techniques that are more oriented towards knowledge – its creation, mapping, transfer and use. We show how many of the methods and tools used in the branch of artificial intelligence known as knowledge engineering can be adapted to provide such a knowledge-oriented technology, and lead to significant benefits for organizations. A number of case studies are presented which illustrate our points, including decision-making at Andersen Consulting and best practice at Rolls-Royce. A more elaborated use is shown in the context of business process re-engineering, where a new software tool kit called SPEDE is being applied and validated within the aerospace and automotive industries.     

Planning for Medical Progress through Education. By Lowell T. Coggeshall,M.D. Evanston,Illinois: Association of American Medical Colleges, 1965. 107 pp. $2.00

Abstract

A 1980 study using the Delphi technique identified field instruction issues and research priorities. In this article, the author reports the findings of a study undertaken to determine if the issues and priorities have changed in the past decade. Twelve national experts reached a consensus on 29 of 61 statements/issues and on three research priorities for the next decade. As in 1980, the study participants viewed the Delphi technique as having strength in gaining consensus, allowing dialogue between geographically separated experts, and serving as an effective means of learning for participants. The prioritized research agenda developed by the experts in 1991 includes the need for empirical analysis of outcomes related to field education; models to ensure quality of field instruction; and processes to help field instructors assist students, especially in integrating classroom and field instruction.