American Punitiveness and Mass Incarceration: Psychological Perspectives on Retributive and Consequentialist Responses to Crime
A recent National Academy of Sciences Report explored the drivers of the fourfold increase in incarceration rates in the United States and provided a firm recommendation for significant reduction in incarceration rates. Policy makers representing the entire political spectrum are now publicly airing their views on the need for reform. Although public sentiment is generally favorably disposed toward reform in the abstract, when confronted with specific examples of crime, they tend to favor more punitive, retributive responses to crime. Retributive justifications for punishment that are deeply ingrained in our culture and our legal system as well as our biological and psychological make-up are a major impediment to constructive reform efforts. However, recent advances in research across neurobiological, psychological, and social levels of analysis suggest that following our retributive impulses to guide legal decision making and criminal justice policy is not only costly and ineffective in reducing crime, but unjust and increasingly difficult to justify morally. This article will draw on a body of research anchored in social ecological models of human behavior to argue for more forward-looking, consequentialist responses to crime that aim at the individual prevention of criminal behavior in the least restrictive and most cost effective manner at both the front- and back-ends of our criminal justice system.
Valuing Emotions in Punishment: an Argument for Social Rehabilitation with the Aid of Social and Affective Neuroscience
Dominant approaches to punishment tend to downplay the socio-emotional dimension of perpetrators. This attitude is inconsistent with the body of evidence from social and affective neuroscience and its adjacent disciplines on the crucial role of emotions and emotion-related skills coupled with positive social stimuli in promoting prosocial behavior. Through a literature review of these studies, this article explores and assesses the implications that greater consideration of emotional and social factors in sentencing and correctional practices might have for conventional punitive approaches to crime. It argues that proper attention to these factors within the judgment of offending can challenge the tenets of dominant punitive ideologies and responses to crime. It further emphasizes the higher rationality and effectiveness of a paradigm of justice that aims for the social reintegration of perpetrators through a path to self-reform and change that is based on relational and inclusionary processes in the least confining environments possible to still ensure public safety. Hence, this article supports the pursuit of social rehabilitation as the ultimate goal of criminal justice.
MCNP(TM) Version 5.
The Monte Carlo transport workhorse, MCNP, is undergoing a massive renovation at Los Alamos National Laboratory (LANL) in support of the Eolus Project of the Advanced Simulation and Computing (ASCI) Program. MCNP Version 5 (V5) (expected to be released to RSICC in Spring, 2002) will consist of a major restructuring from FORTRAN-77 (with extensions) to ANSI-standard FORTRAN-90 with support for all of the features available in the present release (MCNP-4C2/4C3). To most users, the look-and-feel of MCNP will not change much except for the improvements (improved graphics, easier installation, better online documentation). For example, even with the major format change, full support for incremental patching will still be provided. In addition to the language and style updates, MCNP V5 will have various new user features. These include improved photon physics, neutral particle radiography, enhancements and additions to variance reduction methods, new source options, and improved parallelism support (PVM, MPI, OpenMP).