The politics of ethnicity and post-conflict reconstruction: The case of Northern Ghana

Taking into account the complexity of contemporary ethnic conflicts, this article examines the construction and politicisation of ethnicity to understand a recent case of post-conflict reconstruction. More specifically, the article considers theories of post-conflict reconstruction, particularly the conflict transformation school that claims to respond to the hybrid nature of recent ethnic conflicts. By adopting a constructivist perspective, this article argues that post-conflict reconstruction in ethnically-fragmented areas is largely about the problem of de-politicising essentialist discourses of historically constructed ethnic identities. In order to explore this key theoretical issue, the article analyses the 1994-95 case of conflict and reconstruction in the Northern Region of Ghana. This analysis draws on archival research and 21 interviews with individuals representing nongovernmental organisations (NGOs), traditional authorities, religious leaders, opinion leaders, and the state conducted from August to October 2006 in Accra, the capital of Ghana, as well as Tamale, the capital of the Northern Region. Because very little research is available on post-conflict reconstruction in Northern Ghana, this analysis fills a major gap in the contemporary literature on ethnic conflict and post-conflict reconstruction in West Africa. At a broader level, the article suggests that contemporary theories of post-conflict reconstruction would gain from taking a more systematic look at the social and political construction of such identities.     

Estimation of housing needs amid population growth and change

Abstract

This article proposes a theoretical framework and more accurate methods for projecting the household growth component of estimates of housing needs. These estimates combine empirical evidence with normative assumptions about the quantity of housing expected with population growth. Recent California experience illustrates the theoretical and practical issues involved. Alternative empirical methods are used to model changes in per capita household formation and homeownership rates over time.

The results show great instability between 1960 and 2000 in the linkage between population and housing needs, casting doubt on which linkage to use for future projections. Past changes in housing growth are attributed to changing population composition and occupancy patterns for subgroups. Estimates based on a cohort method are lower than those using constant rates of housing consumption and conform much more closely to recent experience, but it may not be desirable to lock in the deficiencies of the past when projecting needs.     

Forensic Discrimination of Dyed Hair Color: II. Multivariate Statistical Analysis*,†

Abstract: This research is intended to assess the ability of UV–visible microspectrophotometry to successfully discriminate the color of dyed hair. Fifty‐five red hair dyes were analyzed and evaluated using multivariate statistical techniques including agglomerative hierarchical clustering (AHC), principal component analysis (PCA), and discriminant analysis (DA). The spectra were grouped into three classes, which were visually consistent with different shades of red. A two‐dimensional PCA observations plot was constructed, describing 78.6% of the overall variance. The wavelength regions associated with the absorbance of hair and dye were highly correlated. Principal components were selected to represent 95% of the overall variance for analysis with DA. A classification accuracy of 89% was observed for the comprehensive dye set, while external validation using 20 of the dyes resulted in a prediction accuracy of 75%. Significant color loss from successive washing of hair samples was estimated to occur within 3 weeks of dye application.     

Gang change and evolutionary theory

While most street gangs are temporary and disorganized, some have institutionalized, and a number of these show signs of evolving into more serious criminal enterprises, becoming more networked, technologically savvy and internationalized, less visible, more predatory and sometimes more violent. The boundaries that researchers have drawn between gangs and other types of criminal groups, particularly organized crime, are becoming blurred. Understanding why this is happening is crucial to planning effective responses. This article suggests that evolutionary theory, involving processes of variation, selection and replication, would constitute a valuable tool for this purpose. Using an evolutionary framework would enable the application of a longitudinal perspective to the microsocial level of analysis, the gang itself, which until now has not had as much attention as other levels of analysis in gang research. Taking inspiration from evolutionary theories in organizational sociology and economics, this article explores how evolutionary theory might be used to understand gang change and locate gangs within evolutionary sequences. It argues that adopting an evolutionary perspective will improve the capacity of law enforcement agencies to focus scarce resources where they are most needed and to plan and implement successful interventions.