The potential of destruction in art and science

ABSTRACT

Artist and researcher Neal White argues for the potential role of radical engagements in science by drawing on the work of pioneers of conceptual art: John Latham (1921–2006), Gustav Metzger (1926–2017) in the UK, and György Kepes (1906–2001) and Robert Smithson (1938–1973) in the US. Starting with destruction as a positive force in artistic practice, White examines the ideas developed by these artists as a conceptual framework for thinking through time, chemical process and event structures within the context of the Cold War. In further examining the social context and contemporary landscape of cultural forms servicing science in terms of the communication of ideas, or underpinning further a knowledge economy, he argues for artists to engage science on their own terms, through a renewal of radical practices. This would in turn create new and critically framed work of benefit to culture and society more generally.     

Small Islands and Marginality: Santa Barbara Island and its Role in the Prehistory of California’s Channel Islands

As the smallest of California’s Channel Islands, Santa Barbara Island has received limited attention from archaeologists. A United States National Park Service project designed to assess its 19 known sites evolved into an island-wide survey that increased the number to 63 sites that date between 4000 and 600 years ago. Most are small shell and lithic scatters, although some are larger shell middens with greater faunal and artifact diversity. Their constituents and geographic distribution indicate that the island not only served as a stopover during inter-island travel but was occupied for longer periods to target local resources such as marine mammal rookeries. Our research presents an opportunity to evaluate the significance of this island to prehistoric communities throughout the archipelago. On a broader level, it provides insights into the important roles that small islands have played in prehistoric lifeways as well as perceptions of marginality.     

The Development of Comparative Judicial Politics

Abstract

Much of the scholarly debate over the Heidegger controversy has endeavored to either connect or free his philosophy from fascism. Against both these tendencies, I argue that the central concepts of Heidegger's philosophy are politically underdetermined. Throughout both his late and early periods, Heidegger's primary ambition remained the illumination of the question of being, a project that I argue made his ontological framework inherently relativistic.     

Spatial autocorrelation of ABO serotypes in mediaeval cemeteries as an indicator of ethnic and familial structure

Hungarian cemeteries in an effort to detect familial structure. Different ethnic groups buried in separate areas dominated the spatial pattern in two cemeteries, leaving insufficient power to test for familial patterns. In a third, ethnically homogeneous cemetery, no evidence of familial structure was found. A simulation showed that familial structure could readily be detected by the methods applied when it exists in an ethnically homogeneous population. The spatial autocorrelation methods employed would have detected the ethnic diversity in the two cemeteries containing graves from different populations, even in the absence of archaeological information to that effect. A restricted randomization procedure was developed to test two alternative hypotheses concerning the ethnic designations of the occupants of the cemetery at Szentendre. As a result of this test, the hypothesis that graves located in a rough circle (putative Lombards) differ serologically from those located at the periphery (putative nonLombards) is strongly preferred over a second hypothesis based on grave goods which would imply spatially random placement of the graves of the two ethnic units.     

Local Spatial Autocorrelation in a Biological Model

We review the recently developed local spatial autocorrelation statistics I_i, c_i, G_i, and G_i*. We discuss two alternative randomization assumptions, total and conditional, and then newly derive expectations and variances under conditional randomization for I_i and c_i, as well as under total randomization for c_i. The four statistics are tested by a biological simulation model from population genetics in which a population lives on a 21 × 21 lattice of stepping stones (sixty-four individuals per stone) and reproduces and disperses over a number of generations. Some designs model global spatial autocorrelation, others spatially random surfaces. We find that spatially random designs give reliable test results by permutational methods of testing significance. Globally autocorrelated designs do not fit expectations by any of the three tests we employed. Asymptotic methods of testing significance failed consistently, regardless of design. Because most biological data sets are autocorrelated, significance testing for local spatial autocorrelation is problematic. However, the statistics are informative when employed in an exploratory manner. We found that hotspots (positive local autocorrelation) and coldspots (negative local autocorrelation) are successfully distinguished in spatially autocorrelated, biologically plausible data sets.