CYBERNETICS AND AMERICAN YOUTH SUBCULTURE

Similar shifts can be seen in the use of cybernetic modelling across a wide variety of scientific disciplines. This article will categorize these shifts in terms of three historical phases: (1) modern cybernetics, focused on digital hierarchical systems, which reached its high point in the late 1960s; (2) transitional postmodern cybernetics, focused on analogue decentralized systems, which started in the late 1970s; and (3) stable postmodern cybernetics, based on a synthesis between the analogue/digital and centralized/decentralized oppositions, which started in the late 1980s. While the shifts themselves can be explained by internalist narratives, the ways in which youth subculture closely parallels these changes suggests that there are causal links between cybernetics and popular culture which work in both directions.     

The Relationship between a History of Childhood Sexual Abuse and Gender Role Attitudes

This study explored the relationship between childhood sexual abuse and gender role attitudes. Female university students rated themselves and their parents on gender role attitudes and history of childhood sexual abuse. Traditional participant gender role attitude and social isolation were associated with reporting being sexually abused as a child and may thus be risk factors for, or the result of a history of, CSA in women. Traditional participant gender role attitude and low income were associated with victim distress and therefore may be detrimental to coping with a history of childhood sexual abuse. Although replication of these results is needed, discovery of attitudinal and demographic variables associated with CSA may be important in the prevention and treatment of CSA.     

On the planning and design of sample surveys

Surveys rely on structured questions used to map out reality, using sample observations from a population frame, into data that can be statistically analyzed. This paper focuses on the planning and design of surveys, making a distinction between individual surveys, household surveys and establishment surveys. Knowledge from cognitive science is used to provide guidelines on questionnaire design. Non-standard, but simple, statistical methods are described for analyzing survey results. The paper is based on experience gained by conducting over 150 customer satisfaction surveys in Europe, America and the Far East.     

'Management Standards' and work-related stress in the UK: policy background and science

In the late 1990s, the Health and Safety Commission, as the lead authority in the UK responsible for Health and Safety at Work, conducted an extensive consultation exercise to elicit views about how work-related stress should be tackled. The Commission subsequently decided that regulation was not justified and opted for an approach with four strands. One of these was to work with stakeholders to develop clear, agreed standards of good management practice. This paper describes and discusses the rationale behind a standards-based approach that is essentially based on a method of controlling hazards. The Management Standards approach uses a taxonomy of six stressors that has evolved out of extensive research carried out on behalf of the UK's Health and Safety Executive (HSE) and in conjunction with stakeholders, and a three-phase risk assessment methodology. Further developmental work on the standards (which are to be subjected to public consultation) and associated measurement tools is described in a companion paper in this issue of Work & Stress (Cousins, Mackay, Clarke, Kelly, Kelly, & McCaig, 2004). The emphasis is on prevention towards reducing stress in the UK working population. We review current thinking on models of work stress, consider evidence linking workplace psychosocial factors and various health and organizational outcomes, and examine the effectiveness of organizational interventions. We argue that the literature supports an approach that aims to move organizational states (represented by the current situation) to more desirable ones (represented by the six Management Standards), and that this is an effective 'population' based approach to tackling workplace stress and promoting individual and organizational health.     

Viet Nam: The development of national health insurance

Since 1987, Viet Nam has been moving from a centrally planned to a market economy. The public sector became weaker, and public resources were no longer sufficient to respond to all healthcare needs. The government then recognized the need for cost-sharing, and in August 1992 issued a national Health Insurance Decree calling for compulsory health insurance for salaried workers in both the public and private sectors. Voluntary membership for dependants, farmers and the self-employed was also encouraged from the start. Currently, the number of insured persons reaches almost 9.5 million. Future challenges include the extension of coverage, especially to the low-income rural and urban population, modification of provider payment methods so as to enhance cost-containment, and organizational development in general.     

Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis

Geodemographics as the “analysis of people by where they live” has origins in urban sociology and social mapping, and is experiencing a renaissance in applied spatial demography. However, some commentators have expressed reservations about the statistical limitations of common geodemographic practices, especially focusing on the potential internal heterogeneity of the geodemographic groupings, as well as the problem of clearly identifying predictor variables that might account for or explain the socioeconomic patterns revealed by geodemographic analyses. In this paper we argue that geodemographic typologies are structured methods for making sense of the spatial and socioeconomic patterns encoded within complex datasets such as national census data. By treating geodemographics as more a framework than a tool for analysis in its own right we are able to integrate it with the flexibility and statistical conventions offered by multilevel modeling. We demonstrate this with a case study of whether pupils from different types of neighborhood in Birmingham, England are more or less likely to attend their nearest state-funded secondary school and how that likelihood varies with the ethnic composition of the neighborhood. In so doing we build on previous research suggesting that ethnic segregation between schools is at least equal to that between neighborhoods in England and speculate in this regard on the consequences of current government plans to extend choice to parents within a schools market.