The Media as spectacle: September 11 as soap opera

The concept of “spectacle” is most often associated with the writings of Guy Debord, but has also been developed and extended by later theorists, most particularly Jonathon Crary. We make use of their ideas on the “spectacle” which is the mass media to address two important sets of questions: how and why does the media find itself in a position to carry out the “immobilising” function ascribed to it by both Debord and Crary; and what are the techniques and mechanisms that facilitate this operation? We then exemplify the process of the media as spectacle with regard to coverage of recent political events such as the September 11 attacks and the so‐called “war on terror” and its relation to what we call the hysterical order of the soap opera.

The whole of life of those societies in which modern conditions of production prevail presents itself as an immense accumulation of spectacle. All that once was directly lived has become mere representation. (Debord )     

Social skills of adopted Chinese girls at home and in school: Parent and teacher ratings

This study examines adopted Chinese girls' social skills at home and in school as well as the effect of pre-adoption adversity on these skills. Parent ratings of 869 girls and teacher ratings of 611 of the 869 girls were obtained using the Social Skills Rating System for parent (SSRS-P) and teacher (SSRS-T) respectively. The girls were adopted on average at 15.6 months (SD = 13.9) and were in three age groups, including preschool, elementary school, and secondary school. Data on five indicators of pre-adoption adversity (i.e., signs/symptoms, delays at adoption, initial refusal/avoidance of adoptive mothers, crying/clinging behaviors, and age at adoption) were obtained from the same adoptive parents 2 years prior. Findings suggest that both parents and teachers rated the girls as either similar to or better than US norms on the SSRS. Parent–teacher agreement on SSRS subscales was significant but modest (rs = 0.12–0.25). Two indicators of pre-adoption adversity (i.e., delays at adoption and initial refusal/avoidance of adoptive mothers) predicted poorer social skills at home; two other indicators of pre-adoption adversity (i.e., signs/symptoms and age at adoption) predicted poorer social skills in school.     

Preliminary Goodness-of-Fit Tests for Normality do not Validate the One-Sample Student t

One of the most basic topics in many introductory statistical methods texts is inference for a population mean, μ. The primary tool for confidence intervals and tests is the Student t sampling distribution. Although the derivation requires independent identically distributed normal random variables with constant variance, σ², most authors reassure the readers about some robustness to the normality and constant variance assumptions. Some point out that if one is concerned about assumptions, one may statistically test these prior to reliance on the Student t. Most software packages provide optional test results for both (a) the Gaussian assumption and (b) homogeneity of variance. Many textbooks advise only informal graphical assessments, such as certain scatterplots for independence, others for constant variance, and normal quantile–quantile plots for the adequacy of the Gaussian model. We concur with this recommendation. As convincing evidence against formal tests of (a), such as the Shapiro–Wilk, we offer a simulation study of the tails of the resulting conditional sampling distributions of the Studentized mean. We analyze the results of systematically screening all samples from normal, uniform, exponential, and Cauchy populations. This pretest does not correct the erroneous significance levels and makes matters worse for the exponential. In practice, we conclude that graphical diagnostics are better than a formal pretest. Furthermore, rank or permutation methods are recommended for exact validity in the symmetric case.     

Marginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models

This work aims at investigating marginal correlation within and between longitudinal data sequences. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind randomized clinical trials are used to estimate the intra-class coefficient of reliability for a binary response. Additionally, the correlation between such a binary response and a continuous response is derived to evaluate the criterion validity of the binary response variable and the established continuous response variable.     

Scale-space theory: a basic tool for analyzing structures at different scales

An inherent property of objects in the world is that they only exist as meaningful entities over certain ranges of scale. If one aims to describe the structure of unknown real-world signals, then a multi-scale representation of data is of crucial importance. This paper gives a tutorial review of a special type of multi-scale representation—linear scale-space representation—which has been developed by the computer vision community to handle image structures at different scales in a consistent manner. The basic idea is to embed the original signal into a one-parameter family of gradually smoothed signals in which the fine-scale details are successively suppressed. Under rather general conditions on the type of computations that are to be performed at the first stages of visual processing, in what can be termed 'the visual front-end', it can be shown that the Gaussian kernel and its derivatives are singled out as the only possible smoothing kernels. The conditions that specify the Gaussian kernel are, basically, linearity and shift invariance, combined with different ways of formalizing the notion that structures at coarse scales should correspond to simplifications of corresponding structures at fine scales-they should not be accidental phenomena created by the smoothing method. Notably, several different ways of choosing scale-space axioms give rise to the same conclusion. The output from the scale-space representation can be used for a variety of early visual tasks; operations such as feature detection, feature classification and shape computation can be expressed directly in terms of (possibly non-linear) combinations of Gaussian derivatives at multiple scales. In this sense the scale-space representation canserve as a basis for early vision. During the last few decades, a number of other approaches to multiscale representations have been developed, which are more or less related to scale-space theory, notably the theories of pyramids, wavelets and multi grid methods.Despite their qualitative differences, the increasing propularity of each of these approaches indicates that the crucial notion of scale is increasingly appreciated by the computer.vision community and by researchers in other related fields. An interesting similarity to biological vision is that the scale-space operators closely resemble receptive field profiles registered in neurophysiological studies of the mam- malian retina and visual cortex.     

A NOTE ON MODELING PROJECT INTERDEPENDENCE IN RESEARCH AND DEVELOPMENT*

This note is concerned with the problem of resource allocation under uncertainty in a research and development laboratory. A distinction is defined between project interrelationships that are specific (or internal) to certain projects and interrelationships resulting from external environmental factors. Formulations are introduced that allow both types of interrelationships to be formally included in a resource allocation optimization model. In the case of external environmental factors, an example is presented and analyzed.     

Social positioning theory and quantum mechanics

Social positioning theory, or an account of the human individual that it grounds, qualifies as a quantum social theory. This is an assessment that I explain and defend in the paper. It is of interest in that, in a world where increasing numbers are seeking to construct quantum social theories, it serves to help demonstrate that this goal can be achieved without giving up on meeting criteria like explanatory intelligibility or power or discarding real-world notions like human (and other) entities. As it turns out, a central feature of the account defended and a core element of the ‘standard’ interpretation of quantum mechanics are found to stand in an interesting, unanticipated and suggestive relation to each other.