The Role of Future Discounting in Subsistence Decisions: The Case of Hohokam Agave Bajada Cultivation

This article demonstrates the relevance of future discounting behavior to studies of prehistoric subsistence strategies. The case study of Agave spp. bajada cultivation among the Classic Period, a.d. 1150–1450, Hohokam of southern Arizona illustrates how slight discounting of future rewards can significantly alter agriculture investment strategies. Despite a higher kcal/hour return than maize agriculture, agave cultivation lessened or ceased in several communities during a time in which intensification would be predicted due to inferred subsistence stress. We surmise the decade-long maturation of agave made it unattractive relative to more immediate return resources in any context that presented risks to land tenure. The cessation of agave cultivation can be understood on two levels of explanation. The long-term investments required by agave and tendency to discount future rewards are the ultimate causes. Political and social instability during the tumultuous Classic period, causing increased insecurity in land tenure, are the proximal causes.     

Social control,structure and practice

Black, Donald, ed. Toward A General Theory of Social Control. Volume 1: Fundamentals. New York: Academic Press, 1984. xvi + 363 pp. including author and subject indexes, bibliographies, list of contributors. $45.00 cloth.

Black, Donald, ed. Toward A General Theory of Social Control. Volume 2: Selected Problems. New York: Academic Press, 1984. x + 310 pp. including author and subject indexes, bibliographies, list of contributors. S39.50 cloth.     

Beyond cultural relativism

Ronald P. Rohner. They Love Me, They Love Me Not: A Worldwide Study of the Effects of Parental Acceptance and Rejection. New Haven, Conn.: H.R.A.F. Press, 1975. 300 pp. Figures, tables, appendices, bibliography, and index. $12.00 (cloth), $6.00 (paper).     

A Workshop on European Peasants

Art critics and scholars have puzzled over the behavior of Pablo Picasso, Gerhard Richter, and Sigmar Polke, three important modern painters who have made frequent and abrupt changes of style. In each case, assuming this behavior to be idiosyncratic, the experts consequently failed to recognize its common basis. But stylistic versatility is in fact often a characteristic of conceptual innovators whose ability to solve specific problems can free them to pursue new goals. This contrasts sharply with the practice of experimental artists, whose inability to achieve their goals often ties them to a single style for an entire career. The phenomenon of the conceptual innovator who produces diverse innovations is an important and new feature of twentieth-century art; Picasso was the prototype, and he has been followed by a series of others, from Marcel Duchamp and Francis Picabia to Bruce Nauman and Damien Hirst. Versatility has furthermore been a characteristic not only of modern painters but also of conceptual innovators in other arts, and of conceptual scholars. Recognizing the common basis of this behavior deepens our understanding not only of twentieth-century art but also of human creativity more generally, for it adds a dimension to the contrast between conceptual and experimental innovators.     

Between Large-N and Small-N Analyses: Historical Comparison of Thirty Insurgency Case Studies

Abstract

The authors study the 30 insurgencies occurring between 1978 and 2008 using four methods crossing the qualitative/quantitative divide. The four approaches are narrative, bivariate comparison, comparative qualitative analysis, and K-medoids clustering. The quantification of qualitative data allows the authors to compare more cases than they could “hold in their heads” under a traditional small-n qualitative approach, improving the quality of the overall narrative and helping to ensure that the quantitative analyses respected the nuance of the detailed case histories. Structured data-mining reduces the dimensionality of possible explanatory factors relative to the available observations to expose patterns in the data in ways more common in large-n studies. The four analytic approaches produced similar and mutually supporting findings, leading to robust conclusions.