The Common Good,Pluralism and the Small Church

Abstract

This paper discusses the understanding of “Common Good” that has been used by the Church of England, especially over the last five years. It suggests that its implicit universalism and identification of Christian morality with the ethical norms for the nation is premised on an understanding of the role of the Church which is no longer realistic. After a brief discussion of the latest statistics for church attendance and a comparison with other national churches in Northern Europe, I suggest that the Church of England is a “small church” and even that Christians constitute a religious minority. This means that the pursuit of the “Common Good” as defined by the church may simply be a piece of nostalgic longing for the time of the “big church.” The recent exclusions for the churches on same-sex marriage legislation indicate that the gap between most of the churches and the wider society. Rather than defining the common good, I suggest that in a pluralist society the churches which recognize their limited role will need to build alliances and common causes with other groups, both religious and secular.     

Latent trajectory models for space‐time analysis: An application in deciphering spatial panel data

This article introduces latent trajectory models (LTMs), an approach often employed in social sciences to handle longitudinal data, to the arena of GIScience, particularly space‐time analysis. Using the space‐time data collected at county level for the whole United States through webpage search on the keyword “climate change,” we show that LTMs, when combined with eigenvector filtering of spatial dependence in data, are very useful in unveiling temporal trends hidden in such data: the webpage‐data derived popularity measure for climate change has been increasing from December 2011 to March 2013, but the increase rate has been slowing down. In addition, LTMs help reveal potential mechanisms behind observed space‐time trajectories through linking the webpage‐data derived popularity measure about climate change to a set of socio‐demographic covariates. Our analysis shows that controlling for population density, greater drought exposure, higher percent of people who are 16 years old or above, and higher household income are positively predictive of the trajectory slopes. Higher percentages of Republicans and number of hot days in summer are negatively related to the trajectory slopes. Implications of these results are examined, concluding with consideration of the potential utility of LTMs in space‐time analysis and more generally in GIScience.     

Anti-Ballistic Missiles and the Liberal–Conservative Internationalist Divide in Cold War Canada, 1966–1970

Shortly following Canada's controversial adoption of nuclear weapon roles in NORAD and NATO in 1963, the focus of nuclear debates shifted to the potential impact on Canadian and international security of the construction of US anti-ballistic missile (ABM) systems. This article expands the focus of scholarship on the ABM issue from the political and policy-making settings to include members of the attentive elite and the news media, and finds these groups deeply divided between liberal and conservative internationalists. On the one hand, supporters of liberal internationalism believed that AMB systems would destabilise the international security environment and ultimately increase the likelihood of nuclear war. Conservative internationalists took the opposite position, arguing that the systems represented a necessary addition to the Western nuclear deterrent and would make nuclear war less likely. In other words, the ABM debate exposed deep divisions in Canadian society between those who preferred diplomatic and multilateral versus military means of achieving middle power goals in the international system.     

Quantifying artefacts over time: Interval estimation of a Poisson distribution using the Jeffreys prior

This paper presents a new method for estimating the amount of an artefact class in use at a given moment in the past from a random assemblage of archaeological finds. The method is based on the use of simulation, since an analytical solution is computationally impractical. Estimating the number of artefacts in use at any time t is shown to follow a Poisson distribution, which allows for credible intervals to be established using the Jeffreys prior. This estimator works from minimal assumptions about the dating and duration of finds, as well as the intensity of collection, and is applied to coinage from four Roman‐period sites excavated by the Roman Peasant Project (2009–14). The result provides an estimation of the abundance of material according to an interval of certainty.