Scaling up CBOs for second‐order devolution in welfare reform

The Personal Responsibility and Work Opportunity Act of 1996 created a paradigm shift in the financing, organization, and delivery of welfare programs in the United States. The act shifted revenue and authority to states, giving them great discretion to determine the specifics of their programs. First‐order devolution, combined with time limits and work requirements, set in motion a chain of events that moved Temporary Assistance to Needy Families (TANF) recipients into the labor force and off state welfare rolls. Second‐order devolution shifted revenue and authority to community‐based organizations (CBOs) to help former recipients remain employed, advance to higher paying jobs, and move their families toward economic self‐sufficiency. Early findings from project innovations in Texas and other states raise doubts about the capacity of these organizations to achieve these goals. State funders will need to provide ongoing technical assistance and support to “scale up” the capacity of CBOs to plan, implement, and manage local innovations in welfare reform.     

Exploring structure-effectiveness relationships in nonprofit arts organizations

The authors examined nineteen nonprofit performing arts organizations, investigating the distribution of influence among organizational members, the grouping of volunteers and staff in organizational structures, and the effectiveness of the organizations. The organizations' effectiveness was assessed using multiple performance indicators. The analysis revealed five groupings or configurations of influence, which correlated to the organizations exhibiting the highest and lowest levels of organizational effectiveness. The authors conclude that a variety of structures are associated with good performance but structural dysfunctions are associated with organizational failure, and that members' commitment to an organization's structure is an important element of success.     

Traditional vs. Modern Food Systems? Insights from Vegetable Supply Chains to Ho Chi Minh City (Vietnam)

This article describes the development of vegetable marketing in Ho Chi Minh City (Vietnam), where modern distribution outlets are competing fiercely with traditional traders for wholesale and retail customers. Data from interviews with supply chain stakeholders and a survey of vegetable wholesalers have been used to compare the performance of modern and traditional chains, and the findings reveal the chains as segmented in their product focus, the modern sector focusing exclusively on quality. Modern marketing channels are generally more efficient than traditional ones but still account for only around 2% of vegetable distribution. The article argues that policy‐makers should not promote the ‘modernisation’ of food systems at the expense of traditional channels which meet important consumer needs.     

Taking a risk and playing it safe: the use of actors in interagency child protection training

Interagency training in child protection is an important part of engaging professionals in a common approach to their collective responsibility for safeguarding children. Training is a key method for empowering professionals to carry out their complex role in child protection with appropriate knowledge, skills and confidence. In Buckinghamshire, experiential learning involving actors has met with some success as part of the interagency child protection training programme. The following paper proposes the argument for using actors, describes how this is done and evaluates its effectiveness for participants, trainers and actors. It is suggested that this method has ample rewards if properly planned, particularly for practitioners in lessons for practice. A close working relationship must be developed between actors and trainers. Scenarios that seem real can be portrayed and skills can then be practised in the knowledge that no one is really being harmed but valuable lessons for real‐life situations can be learned. A central aspect is learning together in a supportive environment away from a blame culture. Copyright © 2005 John Wiley & Sons, Ltd.     

The Capacity of Community‐Based Organizations to Lead Local Innovations in Welfare Reform: Early Findings from Texas

Community‐based organizations (CBOs) are now cast among the lead actors in welfare reform. But do they have adequate capacity to perform this critical leadership function? Early findings from fifteen state‐funded projects in Texas show that state planners must carefully assess the capacity of a CBO to initiate and sustain an innovation at the local level. The authors examine six organizational variables that predict success or failure: goals, management, technology, funding, community involvement, and performance.     

Adolescent Leisure Activities: Social Class,Sex and Ethnic Differences

It has been suggested that leisure is increasingly important to quality of life, and that patterns of awareness of and participation in leisure activities are established in adolescence. A study of 520 fifteen-year-olds mapped their awareness of leisure opportunities in school and community, explored patterns in the forms of leisure they see as possible for themselves, and examined differences in awareness associated with sex, social class and ethnicity. In all dimensions significant variations were associated with gender; in most cases these tended to diminish, however, with decreasing socioeconomic status. Variations on the basis of ethnicity were limited mainly to home activities.     

Detecting interaction links in a collaborating group using manually annotated data

Identification of network linkages through direct observation of human interaction has long been a staple of network analysis. It is, however, time consuming and labor intensive when undertaken by human observers. This paper describes the development and validation of a two-stage methodology for automating the identification of network links from direct observation of groups in which members are free to move around a space. The initial manual annotation stage utilizes a web-based interface to support manual coding of physical location, posture, and gaze direction of group members from snapshots taken from video recordings of groups. The second stage uses the manually annotated data as input for machine learning to automate the inference of links among group members. The manual codings were treated as observed variables and the theory of turn taking in conversation was used to model temporal dependencies among interaction links, forming a Dynamic Bayesian Network (DBN). The DBN was modeled using the Bayes Net Toolkit and parameters were learned using Expectation Maximization (EM) algorithm. The Viterbi algorithm was adapted to perform the inference in DBN. The result is a time series of linkages for arbitrarily long segments that utilizes statistical distributions to estimate linkages. The validity of the method was assessed through comparing the accuracy of automatically detected links to manually identified links. Results show adequate validity and suggest routes for improvement of the method.     

Transnational community enterprises for social welfare in global civil society

Considerable attention has been devoted thus far to transnational economic and political enterprises in globalisation. This article focuses on the phenomenon of social globalisation. Specifically, we call attention to the need for research and development on transnational enterprises to support and maintain individuals and families that are members of transnational communities in the USA and Mexico. The social fallout of transmigration on the health and social wellbeing of sending and receiving communities is enormous and costly, and far beyond the capacity of transmigrants to handle merely through self-help, mutual aid or small voluntary clubs and associations. This article raises questions about whether it is possible, or desirable, for civil society organisations to expand the scope of their vision to include social welfare activities that promote and enhance the health and social wellbeing of host and home communities simultaneously.     

Generalizations of a contamination model for continuous type random variables

In 1965, Stanley Warner (Warner, 1965) introduced a model for contaminating discrete type random variables. He presented this scheme as being potentially useful in survevs where sensitive in-formation is being gathered. Since that time much research has been conducted and many papers written on the development of these discrete type randomized response models. More recently, atten-tion has been focused on the application of randomized response type models for preservation of confidentiality in existing data files (Boruch 1971 and 1972, Ranney 1975, Felligi 1974, and Inge-marsson 1975). In 1974, Poole (Poole, 1974) introduced a randomized response model for a positive continuous type random variable which was basically a continuous variable analog of the discrete variable Warner model. In this paper the results of the 1974 paper are extended to a lt-dimensional continuous type random variable in k-dimensional Euclidean space.