This thesis will assess the relationship between race and perceptions of incarceration through responses gathered from interviews administered to men incarcerated at the Arizona State Prison Complex in Florence, Arizona. The interviews were conducted by incarcerated men through a Participatory Action Research (PAR) project to enhance the prison environment. Critically, men who were interviewed answered the question “What would you do if you were the Director of the Department of Corrections?” The purpose of this thesis is twofold. First, what are the major themes provided to this question? Second, did these themes differ depending on the race or ethnicity of the respondent? The results from this survey can provide a more informed future for corrections that acknowledges the unique criminal justice system experiences held by members of different racial and ethnic groups.

The majority of trust research has focused on the benefits trust can have for individual actors, institutions, and organizations. This “optimistic bias” is particularly evident in work focused on institutional trust, where concepts such as procedural justice, shared values, and moral responsibility have gained prominence. But trust in institutions may not be exclusively good. We reveal implications for the “dark side” of institutional trust by reviewing relevant theories and empirical research that can contribute to a more holistic understanding. We frame our discussion by suggesting there may be a “Goldilocks principle” of institutional trust, where trust that is too low (typically the focus) or too high (not usually considered by trust researchers) may be problematic. The chapter focuses on the issue of too-high trust and processes through which such too-high trust might emerge. Specifically, excessive trust might result from external, internal, and intersecting external-internal processes. External processes refer to the actions institutions take that affect public trust, while internal processes refer to intrapersonal factors affecting a trustor’s level of trust. We describe how the beneficial psychological and behavioral outcomes of trust can be mitigated or circumvented through these processes and highlight the implications of a “darkest” side of trust when they intersect. We draw upon research on organizations and legal, governmental, and political systems to demonstrate the dark side of trust in different contexts. The conclusion outlines directions for future research and encourages researchers to consider the ethical nuances of studying how to increase institutional trust.

Human exposure to excessively warm weather, especially in cities, is an increasingly important public health problem. This study examined heat-related health inequalities within one city in order to understand the relationships between the microclimates of urban neighborhoods, population characteristics, thermal environments that regulate microclimates, and the resources people possess to cope with climatic conditions. A simulation model was used to estimate an outdoor human thermal comfort index (HTCI) as a function of local climate variables collected in 8 diverse city neighborhoods during the summer of 2003 in Phoenix, USA. HTCI is an indicator of heat stress, a condition that can cause illness and death. There were statistically significant differences in temperatures and HTCI between the neighborhoods during the entire summer, which increased during a heat wave period. Lower socioeconomic and ethnic minority groups were more likely to live in warmer neighborhoods with greater exposure to heat stress. High settlement density, sparse vegetation, and having no open space in the neighborhood were significantly correlated with higher temperatures and HTCI. People in warmer neighborhoods were more vulnerable to heat exposure because they had fewer social and material resources to cope with extreme heat. Urban heat island reduction policies should specifically target vulnerable residential areas and take into account equitable distribution and preservation of environmental resources.

This paper uses March CPS data to decompose the Gini coefficient by source of income. The sources of income, divided by labor income, capital income, and public transfer income, include earnings; interest, dividends, and net rentals; public assistance and welfare; retirement funds; self-employment; farm or non incorporated self-employment; nonfarm self-employment; Social Security or railroad retirement; supplemental security; wages and salaries; and unearned sources. The decomposition yields the share of a source in total income, the source Gini corresponding to the distribution of income from a source, the Gini correlation of income from a source with the distribution of total income, and the impact of a marginal change in a source on overall income inequality. Labor income had the largest negative impact on income inequality (resulting from wages and salaries mostly), while capital income did worsen it but on a much smaller scale. Public transfers that favor bottom income groups helped to alleviate income inequality for both individuals and households.