Caribou, Petroleum, and the Limits of Locality in the Canada–US Borderlands

his article discusses Karsten Heuer’s 2006 book Being Caribou in light of debates in ecocriticism and border studies about how to define the local in the context of environmental problems of vast range and uncertain temporality. It explores how Heuer’s book about following the Porcupine Caribou herd’s migration engages in multiple forms of boundary crossing—between countries, between hemispheric locations, and between species—and shows how insights from Indigenous storytelling complicate the book’s appeal to environmentalist readers by asserting a prior, transnational Indigenous presence in the transboundary landscapes of present-day Alaska and the Yukon

Civil society and global governance : the possibilities for global citizenship

In this article we reassert the role of governance as well as of civil society in the analysis of citizenship. We argue that to analyse global civil society and global citizenship it is necessary to focus on global governance. Just as states may facilitate or obstruct the emergence and development of national civil society, so too global governance institutions may facilitate or obstruct an emerging global civil society. Our key contention is that civil society at the global level thrives through its interaction with strong facilitating institutions of global governance. We start with a discussion of civil society and citizenship within the nation-state, and from there develop a model of global civil society and citizenship. Through analysing the impacts of various modes of global governance, we identify strategically appropriate forms of political and social engagement that best advance the prospects for global citizenship. <br /

A Case of Visitor versus Interpreter Pattern

International audienc

On composite marginal likelihoods

Clustered data, Computational efficiency, Composite likelihood, Genetics, Longitudinal data, Missing data, Pairwise likelihood, Pseudolikelihood, Spatial data, Statistical efficiency, Survival analysis, Time series,