From clean up to FICAC: Anti-corruption in Fiji’s post coup politics

The leaders of Fiji’s 2006 military coup launched a ‘cleanup campaign’ and set up an Independent Commission Against Corruption. So far it has brought court cases against about 24 people. Among them is the former Prime Minister, who was charged with corruption for his role in institutions designed to promote the economic interests of indigenous Fijians (who constitute about 56% of the population). The article considers what counts as ‘corruption’ in these Affirmative Action policies: a so-called ‘Agriculture Scam’, which distributed farm implements free to Fijian farmers; a company called Fijian Holdings, which received concessional finance from the government; and a Native Land Trust Board, which collects rent on behalf of indigenous landowners. It concludes that army and popular opinion in Fiji hold conceptions of corruption that are much broader than the offences set out in the country’s penal code, and which the new ICAC is attempting to enforce.     

Activity Fields and the Dynamics of Crime

Our current understanding of the role of the social environment in crime causation is at best rudimentary. Guided by the theoretical framework of Situational Action Theory, and using data from the ESRC financed Peterborough Adolescent and Young Adult Development Study (PADS+), this paper aims to propose how we can better theorise and study the role of the social environment, particularly the person and place interaction, in crime causation. We will introduce, and illustrate the usefulness of, a space–time budget methodology as a means of capturing people’s exposure to settings and describing their activity fields. We will suggest and demonstrate that, combined with a small area community survey and psychometric measures of individual characteristics, a space–time budget is a powerful tool for advancing our knowledge about the role of the social environment, and its interaction with people’s crime propensity, in crime causation. Our unique data allows us to study the convergence in time and space of crime propensity, criminogenic exposure and crime events. As far as we are aware, such an analysis has never before been carried out. The findings show that there are (a) clear associations between young people’s activity fields and their exposure to criminogenic settings, (b) clear associations between their exposure to criminogenic settings and their crime involvement, and, crucially, (c) that the influence of criminogenic exposure depends on a person’s crime propensity. Having a crime-averse morality and strong ability to exercise self-control appears to make young people practically situationally immune to the influences of criminogenic settings, while having a crime-prone morality and poor ability to exercise self-control appears to make young people situationally vulnerable to the influences of criminogenic settings.     

Images of illness: how causal claims and racial associations influence public preferences toward diabetes research spending

Despite the salience of health disparities in media and policy discourse, little previous research has investigated if imagery associating an illness with a certain racial group influences public perceptions. This study evaluated the influence of the media's presentation of the causes of type 2 diabetes and its implicit racial associations on attitudes toward people with diabetes and preferences toward research spending. Survey participants who viewed an article on genetic causation or social determinants of diabetes were more likely to support increased government spending on research than those viewing an article with no causal language, while participants viewing an article on behavioral choices were more likely to attribute negative stereotypes to people with diabetes. Participants who viewed a photo of a black woman accompanying the article were less likely to endorse negative stereotypes than those viewing a photo of a white woman, but those who viewed a photo of a glucose-testing device expressed the lowest negative stereotypes. The effect of social determinants language was significantly different for blacks and whites, lowering stereotypes only among blacks. Emphasizing the behavioral causes of diabetes, as is common in media coverage, may perpetuate negative stereotypes. While drawing attention to the social determinants that shape these behaviors could mitigate stereotypes, this strategy is unlikely to influence the public uniformly.     

Latent Profile Approach to Duration of Stalking

Abstract: Stalking behavior and victim–stalker relationship are often the principal known factors in a stalking case. Thus, they are of great importance when trying to identify factors contributing to stalking duration. The present study aims to identify distinct subgroups of stalking victims based on measures of behavioral stalking dimensions. These victim subgroups, stalking dimensions, and victim–stalker relationship are examined in relation to stalking duration. Using a sample of 137 university students, latent profile analysis (LPA) revealed five distinct victim subgroups based on stalker behavior dimensions: surveillance, low‐profile, social lurker, wide scope, and baseline stalkers. The subgroups were significantly related to stalking duration and explained a considerable amount of the variance along with the stalking dimensions and victim–stalker relationship. Connections to stalking literature and utility of person‐orientated methods in stalking research are discussed.     

Survival analysis: A survey

This paper is a survey of statistical methods used to analyze the length of time until a specified event occurs. These models have often been used to analyze the survival times (i.e., time until death) of medical patients, and so the term survival analysis is natural. In criminology, the main application of these models has been to analyze the time until recidivism, but many other applications are possible. The paper summarizes the statistical literature on survival analysis, and describes its applications in criminology. The methods are illustrated by an application to the prediction of time until recidivism for a sample of North Carolina prison releasees.