Designing Organisational Management Frameworks to Empower Episodic Volunteering

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Volunteers are a critical operational resource for not-for-profit organisations in the health and welfare sector. However,...     

Issue Voting and Crime in Gubernatorial Elections*

Objective. Research on gubernatorial elections has focused extensively on the impact of the economy, ignoring other noneconomic issues that voters may consider when casting their ballots. This article examines the impact of one such noneconomic issue, crime, to determine whether voters hold governors accountable for crime rates and, if so, whether they incorporate national‐ or state‐level conditions. In addition, I investigate whether more educated segments of the electorate are likely to engage in issue voting. Methods. I empirically analyze these propositions using aggregate‐level data on gubernatorial elections from 1986–2004. Results. The data analysis reveals that crime significantly influences gubernatorial races, voters consider state‐ rather than national‐level conditions, and that crime rates have a larger impact in states with a more educated population. Conclusion. Future inquiries should explore other noneconomic issues at the national and subnational levels to determine the breadth of issues that impact elections.     

A New Theoretical Discrete Growth Distribution with Verification for Microbial Counts in Water

Living microbes are discrete, not homogeneously distributed in environmental media, and the form of the distribution of their counts in drinking water has not been well established. However, this count may "scale" or range over orders of magnitude over time, in which case data representing the tail of the distribution, and governing the mean, would be represented only in impractically long data records. In the absence of such data, knowledge of the general form of the full distribution could be used to estimate the true mean accounting for low-probability, high-consequence count events and provide a basis for a general environmental dose-response function. In this article, a new theoretical discrete growth distribution (DGD) is proposed for discrete counts in environmental media and other discrete growth systems. The term growth refers not to microbial growth but to a general abiotic first-order growth/decay of outcome sizes in many complex systems. The emergence and stability of the DGD in such systems, defined in simultaneous work, are also described. The DGD is then initially verified versus 12 of 12 simulated long-term drinking water and short-term treated and untreated water microbial count data sets. The alternative Poisson lognormal (PLN) distribution was rejected for 2 (17%) of the 12 data sets with 95% confidence and, like other competitive distributions, was not found stable (in simultaneous work). Sample averages are compared with means assessed from the fitted DGD, with varying results. Broader validation of the DGD for discrete counts arising as outcomes of mathematical growth systems is suggested.     

American Indian tribal government support of office-seekers: Findings from the 1994 election

How and why do American Indian tribal governments support political office-seekers? Using results from an extensive survey of tribal governments in Arizona and Oklahoma, our findings suggest that issues, rather than cultural ties or political party affiliation, are the primary impetus for American Indian tribal government support of candidates. Additionally, we examine several ways in which American Indians support candidates for office other than voting. This includes official endorsement, financial contributions, get out the vote efforts (GOTV), and volunteering for a candidate. Ultimately, our findings begin to uncover how and why American Indian tribal governments seek to influence the political process in the current era of evolving “government-to-government” relationships.     

Approaches to caring, essential elements for a quality service and cost-effectiveness in South Africa

By 2010 there will be close to two million orphans in South Africa, mainly as a result of HIV/AIDS. This paper assesses different approaches to the care and support of children orphaned by AIDS and other vulnerable children, as well as the cost-effectiveness of each approach. Using a typology of care and essential elements of care, six approaches are evaluated: informal, non-statutory foster care; community-based support; home-based care; unregistered residential care; statutory adoption and fostering; and statutory residential care. A cost-effectiveness analysis assessed actual programs and the costs of providing a minimum standard of care for the six approaches. High costs are associated with formal models of care. Informal approaches may lack the resources to meet children's rights. Resources should be largely allocated to the more cost-effective, informal, community-based structures, but formal models will still be needed for those children who cannot be placed elsewhere.     

Preface

Sociological Forum -     

Public Concern with Animal Well‐Being: Place,Social Structural Location,and Individual Experience*

Abstract While sociologists and the public at large are increasingly interested in the life conditions of animals, conceptual and empirical development of the topic is limited. This paper seeks to further develop the sociological research on attitudes toward animal well‐being. We build on insights from contemporary stratification theory to explain the nature of animal attitudes and their determinants. We also extend past work by examining a broader range of factors related to attitudes about animal well‐being, focusing on place, other social structural factors, and individuals' unique animal‐related experiences. Data are from a survey of over 4,000 Ohio residents conducted in 2002. We find that childhood experience has the greatest place‐based effect on attitudes. Other findings highlight the importance of social structural factors, suggesting support for the “underdog hypothesis.” Women, people experiencing economic hardship, those with less education, younger and middle aged people, and blacks tend to be more concerned with animal well‐being. Individualized, experiential variables are also important. Our results reflect the complexity of attitudes about animals and point to the need for greater sociological attention to factors left largely unexplored in previous studies, including childhood place‐based factors, economic hardship, and individuals' unique animal‐related experiences     

SEMI-MECHANISTIC MODELLING IN NONLINEAR REGRESSION: A CASE STUDY

This paper discusses the use of highly parameterized semi‐mechanistic nonlinear models with particular reference to the PARJIB crop response model of Reid (2002) [Yield response to nutrient supply across a wide range of conditions 1. Model derivation. Field Crops Research 77, 161–171]. Compared to empirical linear approaches, such models promise improved generality of application but present considerable challenges for estimation. Some success has been achieved with a fitting approach that uses a Levenberg–Marquardt algorithm starting from initial values determined by a genetic algorithm. Attention must be paid, however, to correlations between parameter estimates and an approach is described to identify these based on large simulated datasets. This work illustrates the value for the scientist in exploring the correlation structure in mechanistic or semi‐mechanistic models. Such information might be used to reappraise the structure of the model itself, especially if the experimental evidence is not strong enough to allow estimation of a parameter free of assumptions about the values of others. Thus statistical modelling and analysis can complement mechanistic studies, making more explicit what is known and what is not known about the processes being modelled and guiding further research.