The association of distress and denial of responsibility with maladaptive personality traits and self‐esteem in offenders

This study aimed to examine the relationship of offenders' distress and responsibility with maladaptive personality traits, self‐esteem, and offence‐type. It also further validated the Distress and Responsibility Scale (DRS; Xuereb et al., 2009a, Pers. Individ. Diff., 46, 465). A new sub‐scale measuring social desirability was included and assessed in the DRS. Maladaptive personality traits and self‐esteem were measured in relation to the following predictions: (1) that maladaptive personality traits would positively correlate with distress (2) that self‐esteem would negatively correlate with distress and acknowledging responsibility. The sample was 405 male sexual, violent, and general offenders from a UK prison. Participants anonymously completed a questionnaire measuring the variables under investigation. The factor‐structure of the DRS was confirmed via Confirmatory Factor Analysis after minor changes. No significant differences in distress and denial of responsibility were found between sexual, violent, and general offenders. Maladaptive personality traits positively correlated with chronic and offence‐related distress, chronic self‐blame, and minimization of offence harm. Chronic and offence‐related distress and responsibility negatively related to self‐esteem. The study concludes that the DRS has reached stability, and that the social desirability scale increases the measure's validity. Assessment and treatment for offence‐related distress and denial of responsibility should be offered to all offence groups. Offenders would benefit from structured interventions to manage difficulties associated with maladaptive personality traits, including chronic distress and self‐blame. Finally, it was concluded that self‐esteem might serve a self‐defensive function for offenders.     

Collaborative research as an anti-poverty tool: a research partnership between police and indigenous Australians

This paper reports on a collaborative research project that shows how participatory social research can be used as a strategy for combating social exclusion. The Crime Prevention Partnership Project brought together dominant and disempowered groups to explore social issues of mutual concern and identify potential solutions. Indigenous Australian undergraduate students played a central role in this project, working with the police as customer service trainees and with the university as members of a project research group. This project became an opportunity to train and empower new researchers who, as people from disadvantaged groups, brought their own knowledge, concerns, and worldviews to a research process that they helped design and carry out themselves. The result was a learning process for all involved, referred to here as multi-directional empowerment. It led to tangible bridge building between mainstream, powerful institutions and a disadvantaged community. The project process offers a model for using participatory research as a framework in which to address development issues.     

Women's studies courses: Pragmatic and political issues concerning their establishment and design

When attempting to establish women's studies courses within institutions of higher education, women face a traditional power structure designed to obstruct movements for change. Four factors relevant to a power analysis of this situation are status, concrete resources, expertise and self-confidence. These factors are defined and examined in relation to the fight to establish women's studies courses. Within this background the issue of men as ‘patrons’ as teachers and as students, and the fact of women's anger are examined. Many arguments forwarded by conservative patriarchal institutions are discussed. The paper emerges from the experiences of the author in three universities. It is aimed at clarifying some of the traps set for women so that other women can eliminate any fears that their experiences are idiosyncratic or ‘their fault’ rather than part of a formalized power game.     

Diffusion and adaptation: why even the Silicon Valley model is adapted as it diffuses to East Asia

Diffusion scholarship expects little adaptation of core elements of policy models. However, the empirical reality is different; diffusion of even highly regarded models, such as the Silicon Valley venture capital (VC) policy model, results in marked adaptation. This article demonstrates why the Silicon Valley VC model is necessarily adapted differently by policy-makers in the geographically, ethnically and economically proximate states of Hong Kong, Taiwan and Singapore. More specifically, these policy-makers' interventionist orientations, private sector financing preferences and international versus domestic firm promotion biases drive contextually rational – and unique – adaptations of the Silicon Valley VC policy model.     

Context Effects in Forensic Entomology and Use of Sequential Unmasking in Casework

Context effects are pervasive in forensic science, and are being recognized by a growing number of disciplines as a threat to objectivity. Cognitive processes can be affected by extraneous context information, and many proactive scientists are therefore introducing context‐minimizing systems into their laboratories. Forensic entomologists are also subject to context effects, both in the processes they undertake (e.g., evidence collection) and decisions they make (e.g., whether an invertebrate taxon is found in a certain geographic area). We stratify the risk of bias into low, medium, and high for the decisions and processes undertaken by forensic entomologists, and propose that knowledge of the time the deceased was last seen alive is the most potentially biasing piece of information for forensic entomologists. Sequential unmasking is identified as the best system for minimizing context information, illustrated with the results of a casework trial (n = 19) using this approach in Victoria, Australia.     

Comparative Analysis of Insect Succession Data from Victoria (Australia) Using Summary Statistics versus Preceding Mean Ambient Temperature Models

Minimum postmortem interval (mPMI) can be estimated with preceding mean ambient temperature models that predict carrion taxon pre‐appearance interval. But accuracy has not been compared with using summary statistics (mean ± SD of taxon arrival/departure day, range, 95% CI). This study collected succession data from ten experimental and five control (infrequently sampled) pig carcasses over two summers (n = 2 experimental, n = 1 control per placement date). Linear and exponential preceding mean ambient temperature models for appearance and departure times were constructed for 17 taxa/developmental stages. There was minimal difference in linear or exponential model success, although arrival models were more often significant: 65% of linear arrival (r² = 0.09–0.79) and exponential arrival models (r² = 0.05–81.0) were significant, and 35% of linear departure (r² = 0.0–0.71) and exponential departure models (r² = 0.0–0.72) were significant. Performance of models and summary statistics for estimating mPMI was compared in two forensic cases. Only summary statistics produced accurate mPMI estimates.