Community,Family, and Race/Ethnic Differences in Health Status in Rural Areas1

Abstract Many race-specific differences in health outcomes that have been observed in previous research have been attributed to class and racebased group differences which either facilitate or constrain health opportunities and behaviors. These include such variables as different rates of poverty, health insurance coverage, and access to medical care. However, these relationships have been inadequately examined in rural communities where minority status may be even more detrimental to health than in urban areas, due to various constraints on access to health care. We present an analysis that assesses the effects of community, family structure, sociodemographic, and medical care variables on self-reported health status among Hispanics, Mrican Americans, and non-Hispanic whites in six rural communities in Florida. Community structural characteristics had a significant effect on self-reported health, as did some of the measures of how respondents “experience” community. These relationships held even when other sets of variables were added to the models. Family/household characteristics and sociodemographic and medical care variables were less important in explaining self-reported health status. These findings suggest that community continues to be important in explaining differences in health status in rural areas.     

A Methodology for Seismic Risk Analysis of Nuclear Power Plants

This methodology begins by quantifying the fragility of all key components and structures in the plant. By means of the logic encoded in the plant event trees and fault trees, the component fragilities are combined to form fragilities for the occurrence of plant damage states or release categories. Combining these, in turn, with the seismicity curves yields the frequencies of those states or releases. Uncertainty is explicitly included at each step of the process.     

Fitting Hierarchical Holographic Modeling into the Theory of Scenario Structuring and a Resulting Refinement to the Quantitative Definition of Risk

A point of view is suggested from which the Hierarchical Holographic Modeling (HHM) method can be seen as one more method within the Theory of Scenario Structuring (TSS), which is that part of Quantitative Risk Assessment having to do with the task of identifying the set of risk scenarios. Seen in this way, HHM brings strongly to our attention the fact that different methods within TSS can result in different sets of risk scenarios for the same underlying problem. Although this is not a problem practically, it is a bit awkward conceptually from the standpoint of the "set of triplets" definition of risk, in which the scenario set is part of the definition. Accordingly, the present article suggests a refinement to the set of triplets definition, which removes the specific set of scenarios, found by any of the TSS methods, from the definition of risk and casts it, instead, as an approximation to the "true" set of scenarios that is native to the problem at hand and not affected by the TSS method used.     

The wireless network jamming problem

In adversarial environments, disabling the communication capabilities of the enemy is a high priority. We introduce the problem of determining the optimal number and locations for a set of jamming devices in order to neutralize a wireless communication network. This problem is known as the wireless network jamming problem. We develop several mathematical programming formulations based on covering the communication nodes and limiting the connectivity index of the nodes. Two case studies are presented comparing the formulations with the addition of various percentile constraints. Finally, directions of further research are addressed.     

MILITIAS AT THE MILLENNIUM:

Critically important to Neil Smelser's theory of collective behavior is the idea that people join radical social movements because they experience strain. A social movement arises to reassure participants that something is being done to redress the underlying source of strain. Militia presence and activity on the Internet (especially Usenet) is a phenomenon that can be studied within Smelser's framework. Militia watchers contend that those who join the militias have experienced the kinds of strain to which Smelser refers. The purpose of this article is to analyze the content of Internet traffic of U.S. militias in order to test the thesis outlined above. It uses militia Web sites and militia messages posted to Usenet (N = 1,196) as primary data to test Smelser's theory. Information was gathered on 171 men and women from 28 U.S. militias who posted messages to Usenet from 1998–2001. Based on the militiamen/women studied, Smelser's thesis is generally confirmed. Most experienced some form of social stress or strain prior to or during the time that they were in the militia, and most conditions for social movement development as specified by Smelser were met and confirmed by the data.     

Estimating the completeness of under-5 death registration in Egypt

To evaluate the completeness of registration of infant and child deaths in Egypt, reinterviews were conducted with families who had reported a death of a child under age 5 in the five years before the survey for two national surveys recently conducted in Egypt: the United Nations PAPCHILD survey of1990-1991 and the Egyptian Demographic and Health Survey (EDHS) of 1992. The survey instrument included questions regarding notification of the death at the local health bureau. If the family said the death had been notified, separate employees searched the health bureau records for the registration. Overall 57% of infant deaths were reported as notified and 68% of those death reports were found; the corresponding figuresfor child deaths were 89% and 74%. Using the percentage reported as notified as an estimate for completeness of registration, we adjusted upward the national infant and child mortality rates from registration data, giving values of 73 per 1,000 for infant mortality and 99 for ₅q₀ for the period 1987-1990. These values are approximately 20% above the corresponding direct estimates from the PAPCHILD and EDHS surveys.     

Social Identification and Corporate Irresponsibility: A Model of Stakeholder Punitive Intentions

Scholars hypothesize that retaliations against corporate social irresponsibility (CSI) are more likely when observers share the social identity of the victims. We present a model that explains in‐group bias against irresponsibility and identify collective narcissism as a moderator of this effect. Experiment 1 demonstrates that the effect of identity on retaliations is mediated by the perceived similarity of the victims which reinforces feelings of sympathy towards the victims and anger towards the corporation. These emotions drive stakeholders’ attitudes and retaliations. Our study shows that appraisals of the victims of CSI are an important antecedent of stakeholders’ emotions and behavioural intentions. Our evidence also demonstrates that sympathy, an emotion neglected by past research in this area, has a unique effect on individuals’ reactions. Experiment 2 demonstrates that social identity biases in individual punitive intentions are moderated by individuals’ level of collective narcissism. Collective narcissists see out‐group victims as very dissimilar from the self, whereas individuals with low levels of collective narcissism do not differentiate between victims of CSI on the basis of their identity. We extend knowledge on stakeholders’ reactions to CSI and offer insights to organizations promoting campaigns against irresponsible behaviour or managing the fallout from cases of corporate irresponsibility.