Voluntarism, self-help and rural community development: Some current approaches

Within the last decade or so, there has developed an increased concern for the welfare of rural communities and for individuals within such communities. At the same time there has emerged a parallel concern for environmental matters, concerned with conservation of species and habitat and the protection of cherished landscapes and amenities. Both sectors of rural concern have been characterised by debate about the means of delivery of policies and programmes in their respective areas and, in particular, about the balance between state action and the activities of the private sector. A common thread running through such debates has been the role of what is loosely called the ‘voluntary sector’, that is the complicated mix of individuals and organisations, local and national, which involve themselves in effort, not for direct payment nor as a routine of work, but because of feelings of commitment, belief and ideology.This paper is concerned with just one aspect of this sector — that which involves social and community aspects of the lives of rural dwellers in the English countryside. Despite this restricted field, there is an attempt to see things within a broader socio-political context, such that rural voluntarism and rural self-help can be assessed not only against a wider picture of volunteering generally but also placed within a political framework, both national and local. Voluntarism and self-help cannot exist independently of the world around them, yet the very process of facing up to the wider political realities creates problems of accountability and control to the extent that some would dismiss the voluntary sector as ineffective at best or the tool of vested interests at worst.     

NETWORK AND MEANING: AN INTERACTIONIST APPROACH TO STRUCTURE*

Social network is a concept interactionists might use to link individual behavior to the larger social system. A symbolic interactionist formulation of network would: 1) approximate the original, anthropological usage better than the current structural conception does, 2) offer symbolic interactionists a unit of social organization better suited to their perspective than the small group, and 3) allow symbolic interactionists to deal with “macro” sociological concerns. Network is conceived of as a set of relationships which people imbue with meaning and use for personal or collective purposes. By emphasizing subjective meaning and the investigation of multi-purpose and weak ties, the interactionist formulation provides theoretical insights into those aspects of society which “structural” approaches overlook.     

Life Cycle Changes and Criminal Propensity*

The relationship between age and self-reported propensity toward criminal behavior is investigated among a large survey sample, and an attempt is made to explain the observed variations. Results indicate a clear negative relationship between age and criminal propensity which is in part attributed to generational differences and partly to life cycle changes. Efforts to account for the association show this relationship to be exceptionally stable and resistant to explanation. Nevertheless analysis suggests complex interactions among several variables as the appropriate explanation.     

A Curriculum for Graduate-Level Marriage and Family Therapy Education*

The Delphi technique of refining group opinion was used to develop a graduate level marriage and family therapy curriculum. Opinions were synthesized from a national panel of 20 AAMFT Approved Supervisors and 25 training directors of graduate-level marriage and family therapy programs. Three rounds of questionnaires were employed and 101 content areas met the criteria for inclusion into the final curriculum. Discussed are the similarities and differences of this curriculum and the current “model” AAMFT curriculum. It is hoped that the curriculum devised from this study will lead to the continued rethinking, refinement, and evolution of marriage and family therapy education.     

Slice sampling for simulation based fitting of spatial data models

An auxiliary variable method based on a slice sampler is shown to provide an attractive simulation-based model fitting strategy for fitting Bayesian models under proper priors. Though broadly applicable, we illustrate in the context of fitting spatial models for geo-referenced or point source data. Spatial modeling within a Bayesian framework offers inferential advantages and the slice sampler provides an algorithm which is essentially off the shelf. Further potential advantages over importance sampling approaches and Metropolis approaches are noted and illustrative examples are supplied.