Social (dys)welfare within a hostile state

Beneath the wide differences between Australian Aborigines and British Gypsies lie similarities in their experiences of the state in general and the 'welfare' state in particular. Both groups' history of oppression includes persecution, assimilation and genocide, all variations on the theme of the destruction of a minority group's existence and culture. Their relationships with land which diverge from the dominant capitalist/colonialist norm are treated as a threat by the majority. Cultural genocide has taken the form of state control of children, leading Aborigines and Gypsies to fear state social work services. These services fail to understand, respect and respond to different cultural values, lifestyles and strengths, and the resulting 'dyswelfare' has had damaging impacts, including the devastation of Aboriginal family structures, and collusion with the failure to provide sites for Gypsies. Social work educators have a responsibility to consider these experiences and their implications. In any attempt by social work to promote rather than undermine these minorities' rights, the voice of the groups must be at the forefront of change, and organisational structures and priorities transformed at local and national levels. Theoretical tools to assist these changes are available from anti-oppressive and cross-cultural practice, and citizenship and human rights perspectives.     

Gender Segregation in the Spanish Labor Market: An Alternative Approach

The aim of this paper is to study occupational segregation by gender in Spain, which is a country where occupational segregation explains a large part of the gender wage gap. As opposed to previous studies, this paper measures not only overall segregation, but also the segregation of several population subgroups. For this purpose, this paper uses new measures recently proposed by Alonso-Villar and Del Río ( Local versus overall segregation measures, Documento de Traballo 0802, Departamento de Economía Aplicada, Universidade de Vigo, 2008). Moreover, two decompositions of their local segregation curves are proposed, which allows us to go further in the empirical analysis.     

The effect of inbreeding on early childhood mortality: Twelve generations of an amish settlement

An unresolved issue in research on child survival is the extent to which familial mortality risk in infancy is due to biological influences net of sociodemographic and economic factors. We examine the effect of consanguinity on early childhood mortality in an Old Order Amish settlement by using the inbreeding coefficient, an explicit measure of the degree of relatedness in one's ancestry. Inbreeding has a net positive effect on neonatal and postneonatal deaths. We find social, demographic, and population-based sociocultural explanations for this effect among the Amish population which is known to experience certain genetically transmitted defects associated with mortality.     

Addressing Unmet Needs in Incarcerated Women With Co-occurring Disorders

ABSTRACT

This article will present findings related to critical needs in a group of 281 incarcerated women with co-occurring disorders. The women completed interviews while incarcerated and again at various time points after community reentry. Findings revealed that the number of basic needs increased over time, and a low level of social support was related to negative outcomes. Recommendations for this population include holistic evaluation assessments and integrated treatment plans that encourage staff to comprehensively assess clients at intake and link them to support services during and after incarceration. Implications of this female empowerment model will be discussed.     

Values,Perceived Risks and Benefits,and Acceptability of Nuclear Energy

We examined how personal values and perceptions of risks and benefits are associated with the acceptability of nuclear energy (NE). A theoretical model is tested in which beliefs about the risks and benefits of NE mediate the relationship between values and acceptability. The results showed that egoistic values are positively related to the perceived benefits and acceptability of NE. In contrast, altruistic and biospheric values were positively related to the perceived risks of NE. Although it has been argued that NE may help to combat climate change through lower CO₂ emissions, these environmental benefits were not acknowledged by people with strong biospheric values. Furthermore, results confirmed that the more risks respondents perceived, the less they were inclined to accept NE. In contrast, the more a person believed that NE has beneficial consequences, the more acceptable NE was. Finally, as expected, perceived risks and benefits were found to partly mediate the relationship between personal values and acceptability. We discuss the theoretical and practical implications of these findings.     

Variance reduction in the study of a test concerning the behrens-fisher problem

A simulation case study illustrating the implementation of a variance reduction technique appropriate for dichotomous response variables is presented. In this simulation study, concerning the power of the Cochran and Cox test for the equality of means under possibly unequal variances, variance reductions of around 80% or more are obtained. More importantly, a known property of the Cochran and Cox, its conservative character, is detected thanks to the use of variance reduction.     

Families,social life,and well-being at older ages

As people age, many aspects of their lives tend to change, including the constellation of people with whom they are connected, their social context, their families, and their health—changes that are often interrelated. Wave I of the National Social Life, Health, and Aging Project (NSHAP) has yielded rich information on intimate ties, especially dyads and families, and on social connections generally. Combined with extensive biological and other health measures, NSHAP enables researchers to address key questions on health and aging. We begin with recent findings on intimate dyads, then move to social participation, and finally to elder mistreatment. Among dyads, we find that whereas sexual activity drops sharply with age for both women and men, gender differences in partner loss as well as psychosocial and normative pressures constrain women’s sex more than men’s. However, surviving partnerships tend to be emotionally and physically satisfying and are marked by relatively frequent sex. In contrast to sex, nonsexual intimacy is highly prevalent at older ages, especially among women. Older adults are also socially resilient—adapting to the loss of social ties by increasing involvement with community and kin networks. Despite these social assets, older adults remain vulnerable to mistreatment. Overall, these findings yield a mixed picture of gender-differentiated vulnerabilities balanced by proactive adaptation and maintenance of social and dyadic assets.     

A Systems Approach to the Policy‐Level Risk Assessment of Exotic Animal Diseases: Network Model and Application to Classical Swine Fever

Exotic animal diseases (EADs) are characterized by their capacity to spread global distances, causing impacts on animal health and welfare with significant economic consequences. We offer a critique of current import risk analysis approaches employed in the EAD field, focusing on their capacity to assess complex systems at a policy level. To address the shortcomings identified, we propose a novel method providing a systematic analysis of the likelihood of a disease incursion, developed by reference to the multibarrier system employed for the United Kingdom. We apply the network model to a policy‐level risk assessment of classical swine fever (CSF), a notifiable animal disease caused by the CSF virus. In doing so, we document and discuss a sequence of analyses that describe system vulnerabilities and reveal the critical control points (CCPs) for intervention, reducing the likelihood of U.K. pig herds being exposed to the CSF virus.     

Exposure Assessment Approaches for Engineered Nanomaterials

Products based on nanotechnology are rapidly emerging in the marketplace, sometimes with little notice to consumers of their nanotechnology pedigree. This wide variety of nanotechnology products will result (in some cases) in unintentional human exposure to purposely engineered nanoscale materials via the dermal, inhalation, ingestion, and ocular pathways. Occupational, consumer, and environmental exposure to the nanomaterials should be characterized during the entire product lifecycle—manufacture, use, and disposal. Monitoring the fate and transport of engineered nanomaterials is complicated by the lack of detection techniques and the lack of a defined set of standardized metrics to be consistently measured. New exposure metrics may be required for engineered nanomaterials, but progress is possible by building on existing tools. An exposure metric matrix could organize existing data by relating likely exposure pathways (dermal, inhalation, ocular, ingestion) with existing measurements of important characteristics of nanoscale materials (particle number, mass, size distribution, charge). Nanomaterial characteristics not commonly measured, but shown to initiate a biological response during toxicity testing, signal a need for further research, such as the pressing need to develop monitoring devices capable of measuring those aspects of engineered nanomaterials that result in biological responses in humans. Modeling the behavior of nanoparticles may require new types of exposure models that individually track particles through the environment while keeping track of the particle shape, surface area, and other surface characteristics as the nanoparticles are transformed or become reactive. Lifecycle analysis could also be used to develop conceptual models of exposure from engineered nanomaterials.     

Vector autoregressive models with measurement errors for testing Granger causality

This paper develops a method for estimating the parameters of a vector autoregression (VAR) observed in white noise. The estimation method assumes that the noise variance matrix is known and does not require any iterative process. This study provides consistent estimators and the asymptotic distribution of the parameters required for conducting tests of Granger causality. Methods in the existing statistical literature cannot be used for testing Granger causality, since under the null hypothesis the model becomes unidentifiable. Measurement error effects on parameter estimates were evaluated by using computational simulations. The results suggest that the proposed approach produces empirical false positive rates close to the adopted nominal level (even for small samples) and has a satisfactory performance around the null hypothesis. The applicability and usefulness of the proposed approach are illustrated using a functional magnetic resonance imaging dataset.