Personal and Vicarious Experience with the Criminal Justice System as a Predictor of Punitive Sentencing Attitudes

This study examined the impact of prior personal or vicarious experience with the criminal justice system on sentencing attitudes. Existing research on sentencing attitudes has examined factors such as race, gender, income level, political affiliation, and education level, but few research studies have focused on actual contact with the criminal justice system and its influence on perceptions of sentencing as either too harsh or too lenient. The current study utilized data collected by the Roper Center for Public Opinion Research. Over 1,500 respondents were surveyed nationwide in 2006 regarding sentencing attitudes. Logistic regression analysis was utilized to assess the impact of factors of interest on sentencing attitudes. Results indicated that individuals who had been charged with a crime (personal experience), or who had an immediate relative or close friend who had been charged (vicarious experience), were more likely to perceive the criminal justice system as too harsh, regardless of race/ethnicity.     

Australia's Progress Undefined: A Critical Review of Measures of Australia's Progress (MAP)

Indicator systems to report on concepts such as sustainability and progress have become a key policy response by governments to concerns over environmental degradation and social and economic instability. When developed by a national bureau, public service imperatives suggest that concepts such as ‘sustainability’ and ‘progress’ should be addressed without offending the ideology of political actors. We offer a case study of the Australian Bureau of Statistics (ABS) Measures of Australia's Progress (MAP) indicator system. The ABS has chosen to avoid offering a clear definition of what progress means, or a conceptual framework linked to a definition to explain the selection of indicators. ‘Progress’, however, is a socially defined, normative concept. Such concepts cannot be understood without reference to cultural and political processes. By seeking to avoid a perception of cultural or political bias the ABS has limited MAP's capacity to measure progress. We conclude with suggestions on how MAP might be improved.     

Musculoskeletal stress marker (MSM) differences in the modern American upper limb and pectoral girdle in relation to activity level and body mass index (BMI)

Obesity is a widespread condition affecting modern Americans. The prevalence of obesity has led to questions of how it can affect the skeleton, and if so can it be identified in unknown skeletal material. This study attempts to decipher the effects of activity level and body mass in modern Americans by employing musculoskeletal stress markers (MSM) to estimate osseous responses to workload and body weight. A total sample of 108 skeletons of known activity level and body mass index (BMI) was observed for MSM in the upper extremity (excluding hands). The entheses selected included arm muscles used during the sit-to-stand transition, which is common in most persons, regardless of activity level and BMI. Using the three categories: normal, active, and obese, logistic regression was calculated on MSM to ascertain which markers were the best indicators of these three categories. Numerous muscles of the upper limb were significant predictors of activity level and body mass, although they did not perform much better than chance. MSM may be used as predictors of activity level and/or BMI in forensic contexts; however, they should be used in conjunction with other indications of workload and/or BMI.     

Legislative Twitter Style: Electoral Vulnerability,Social Media,and Constituency-Building in Large Multimember Electoral Systems

How do legislators use social media to cultivate their constituencies in large multimember electoral districts? Colombia's Senate nationwide district offers a suitable case to examine how lawmakers, through their behaviour on Twitter, geographically target their audiences. We employ microblog user geolocation methods which infer locations using textual content in order to identify where Colombian senators' Twitter ‘home’ is. We find that senators' location targeting on Twitter largely mirrors the geographical distribution of their votes. Deviations from that pattern mostly stem from their vulnerability to intraparty competition and the nature of their parties' organisation.