Territoriality and Migration in a Divided Society: Lay Theories of Citizenship and Place in Northern Ireland

The study of citizenship has increasingly focused on the ways in which spatialized understandings of the concept can be used to marginalise and exclude social groups: exclusive constructions of national boundaries, local neighbourhoods and public spaces can deny marginalised groups their social and political rights. Less attention has been paid to how constructions of place can accommodate different groups’ rights and promote peaceful coexistence. This is particularly important in locations where migration disrupts existing understandings (‘lay theories’) of the relationship between residency, identity and collective rights. The present research examines how spatialized understandings of citizenship shape perceptions of intergroup mixing in previously segregated areas of a post-conflict society. Critical Discursive Social Psychological (CDSP) analysis of 30 interviews with long-term residents and recent migrants to increasingly mixed areas of Belfast shows that, while all pa
rticipants acknowledged Northern Ireland’s territorialisation, different lay theories of citizenship underpin the possibility and desirability of intergroup coexistence. Long-term residents drew upon understandings of the negative citizenry of the outgroup to argue against the possibility of peaceful coexistence within their locale, while recent incomers gave evidence of their own experiences of good citizenship within the shared spaces of neighbourhood to demonstrate that this could and should be achieved. The implications of lay theories of citizenship for the study of residential migration and mixing are discussed

Directional genetic differentiation and relative migration

Understanding the population structure and patterns of gene flow within species is of fundamental importance to the study of evolution. In the fields of population and evolutionary genetics, measures of genetic differentiation are commonly used to gather this information. One potential caveat is that these measures assume gene flow to be symmetric. However, asymmetric gene flow is common in nature, especially in systems driven by physical processes such as wind or water currents. As information about levels of asymmetric gene flow among populations is essential for the correct interpretation of the distribution of contemporary genetic diversity within species, this should not be overlooked. To obtain information on asymmetric migration patterns from genetic data, complex models based on maximum-likelihood or Bayesian approaches generally need to be employed, often at great computational cost. Here, a new simpler and more efficient approach for understanding gene flow patterns is presented. This approach allows the estimation of directional components of genetic divergence between pairs of populations at low computational effort, using any of the classical or modern measures of genetic differentiation. These directional measures of genetic differentiation can further be used to calculate directional relative migration and to detect asymmetries in gene flow patterns. This can be done in a user-friendly web application called divMigrate-online introduced in this study. Using simulated data sets with known gene flow regimes, we demonstrate that the method is capable of resolving complex migration patterns under a range of study designs.