Claims to Place: The public art of Sue Jane Taylor

This paper explores the ways through which the public art of Scots artist Sue Jane Taylor and the practices associated with it both unsettle narratives of globalisation and conjure in their stead new narratives of place. With reference to the stories of five works/workings of art—Glencalvie and Borgie in the Highlands, Aberdeen (the onshore site for the North Sea oil industry) and Clydebank, and Lower Pultneytown, Wick—I show how the art, as evidence of a deeply politicised aesthetics, makes visible not only the specificities of historical and contemporary struggle, but is also bound up with creating and imagining new political possibilities. Art and artistic practices are understood not simply in terms of shaping meanings but as constitutive of processes of subject formation and of the ‘becoming’ of place.     

The reader as writer,the author as con artist: Nuala O'Faolain and the criminal narratives of Chicago May

Nuala O'Faolain seeks to revise the life story of May Churchill Sharp, an international con woman born in Ireland, in hopes of establishing a feminist identification with her. But O'Faolain's claim for her writing of a kind of authorial authenticity ultimately precludes an identification with Sharp, as Sharp's narrative – like all narratives – is a criminal narrative which renders feminist ‘authenticity’ impossible to achieve, something O'Faolain herself refuses to acknowledge.     

Exceptional preservation of a prehistoric human brain from Heslington,Yorkshire, UK

Archaeological work in advance of construction at a site on the edge of York, UK, yielded human remains of prehistoric to Romano-British date. Amongst these was a mandible and cranium, the intra-cranial space of which contained shrunken but macroscopically recognizable remains of a brain. Although the distinctive surface morphology of the organ is preserved, little recognizable brain histology survives. Though rare, the survival of brain tissue in otherwise skeletalised human remains from wet burial environments is not unique. A survey of the literature shows that similar brain masses have been previously reported in diverse circumstances. We argue for a greater awareness of these brain masses and for more attention to be paid to their detection and identification in order to improve the reporting rate and to allow a more comprehensive study of this rare archaeological survival.     

Analyzing Hotspots of Crime Using a Bayesian Spatiotemporal Modeling Approach: A Case Study of Violent Crime in the Greater Toronto Area

Conventional methods used to identify crime hotspots at the small‐area scale are frequentist and employ data for one time period. Methodologically, these approaches are limited by an inability to overcome the small number problem, which occurs in spatiotemporal analysis at the small‐area level when crime and population counts for areas are low. The small number problem may lead to unstable risk estimates and unreliable results. Also, conventional approaches use only one data observation per area, providing limited information about the temporal processes influencing hotspots and how law enforcement resources should be allocated to manage crime change. Examining violent crime in the Regional Municipality of York, Ontario, for 2006 and 2007, this research illustrates a Bayesian spatiotemporal modeling approach that analyzes crime trend and identifies hotspots while addressing the small number problem and overcoming limitations of conventional frequentist methods. Specifically, this research tests for an overall trend of violent crime for the study region, determines area‐specific violent crime trends for small‐area units, and identifies hotspots based on crime trend from 2006 to 2007. Overall violent crime trend was found to be insignificant despite increasing area‐specific trends in the north and decreasing area‐specific trends in the southeast. Posterior probabilities of area‐specific trends greater than zero were mapped to identify hotspots, highlighting hotspots in the north of the study region. We discuss the conceptual differences between this Bayesian spatiotemporal method and conventional frequentist approaches as well as the effectiveness of this Bayesian spatiotemporal approach for identifying hotspots from a law enforcement perspective.