Liberal Government and the Practical History of Anthropology

This paper explores the implications of Foucault's perspective of liberal government for approaches to the practical history of anthropology. It also draws on assemblage theory to consider the changing relations between field, museum and university in relation to a range of early twentieth-century anthropological practices. These focus mainly on the development of the Boasian paradigm in the USA during the inter-war years and on the anthropological practices clustered around the Musée de l'Homme in the 1930s. Key steps in the argument focus on the role of what Foucault called “transactional realities” in mediating the practical applications of anthropology in colonial contexts and in “anthropology at home” projects. Special consideration is also given to the increasingly archival properties of anthropological collections in the early twentieth century and the consequences of this for anthropology's relations to practices of governing.     

THE NUMBER‐AVERAGE SIZE RULE: A NEW EMPIRICAL RELATIONSHIP BETWEEN INDUSTRIAL LOCATION AND CITY SIZE*

ABSTRACT The spatial intensities of both industries and population are highly uneven across space. Moreover, these intensities differ not only across industries, but also change through time. Nevertheless, we show using Japanese data for metropolitan areas in two time periods that the location intensities of both industries and population are linked by surprisingly simple and persistent patterns. In particular, we identify a strong negative log‐linear relation between the number and the average (population) size of metro areas in which a given industry is found. This relation, which we designate as the Number‐Average Size (NAS) Rule, is also shown to be intimately connected to both the Rank‐Size Rule and Christaller's (1966) Hierarchy Principle applied to metropolitan areas. In particular, we show mathematically that in the presence of the Hierarchy Principle (which holds quite well in Japan) this NAS Rule is essentially equivalent to the Rank Size Rule.     

Gravity-Type Interactive Markov Models—Part II: Lyapunov Stability of Steady States

In Part I of this paper (Smith and Hsieh, 1997) a programming formulation of steady states was developed for gravity-type interactive Markov chains in terms of their associated spatial-flow chains. These results are here applied to analyze the stability properties of interactive Markov chains. In particular, the objective function for this programming formulation is shown to constitute a Lyapunov function for an appropriately defined continuous-time version of spatial-flow chains. The Lyapunov stability properties of these spatial flows are then shown to yield corresponding stability properties for the continuous-time versions of interactive Markov chains. In particular, these processes always exhibit global convergence to steady states. Finally, it is shown that when steady states are unique, these convergence results are inherited by those interactive Markov chains that are 'sufficiently close' to their continuous-time versions.