‘I'm a good mother really!’ gendered parenting roles and responses to the disclosure of incest

The disclosure of incestuous abuse of a child constitutes such a departure from normative expectations of mothering that it necessitates a complete reappraisal and reconstruction of the mother's identity. This article draws on interview material with women in this situation in order to demonstrate how very traditional gendered parenting models were employed in repairing damaged identities. The ways in which such reliance on the protective and selfless aspects of mothering could contribute to the failure to recognise the abuse of their child are also discussed. In conclusion, motherhood as a source of power for women within the family is critically examined. Copyright © 2002 John Wiley & Sons, Ltd.     

A semi-parametric approach to robust parameter design

Parameter design or robust parameter design (RPD) is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic. An essential component of RPD involves the assumption of well estimated models for the process mean and variance. Traditionally, the modeling of the mean and variance has been done parametrically. It is often the case, particularly when modeling the variance, that nonparametric techniques are more appropriate due to the nature of the curvature in the underlying function. Most response surface experiments involve sparse data. In sparse data situations with unusual curvature in the underlying function, nonparametric techniques often result in estimates with problematic variation whereas their parametric counterparts may result in estimates with problematic bias. We propose the use of semi-parametric modeling within the robust design setting, combining parametric and nonparametric functions to improve the quality of both mean and variance model estimation. The proposed method will be illustrated with an example and simulations.     

Parent‐Adolescent Communication About Sex: Retrospective Reports by Latino College Students

Latina female (n= 97) and Latino male (n= 69) college students (M age = 21.4 years) completed self‐report surveys regarding family of origin experiences, including sexual communication with parents while growing up. Latino parents of this comparatively highly educated sample tended to use direct rather than indirect strategies for communicating about sexuality with their children. Young women reported higher levels of sexual communication with mothers while growing up than did young men, and respondents reported less communication with fathers than mothers. Among young women, sexual communication with mother was positively associated with non‐Mexican origin and negatively associated with having older brothers living at home. In contrast, maternal education was positively associated with mother‐son communication about sex. Paternal education and the absence of older brothers positively predicted communication with both sons and daughters. The analyses provide novel information regarding sexual communication in Latino families and suggest directions for future research.     

The Dialectic of Technology: Commentary on Warner and England1

Abstract Warner and England (1995) make a welcome argument for a technological science perspective for sociology based on a theory of humans as technological agents and an epistemology that includes ethical values. As with any sociological perspective, however, Warner and England's comments help to focus on and understand some aspects of social life and not others. This commentary provides a complementary focus by emphasizing the dialectical relationship between human agency and technological agency. Furthermore, I argue that a dialectical view is necessary for grounding Warner and England's theoretical argument and for acting on their ethical argument. Implications of a dialectical perspective for the meaning and politics of technology are explored. The paper concludes with a discussion of the suitability of “science” as a metaphor for sociology.     

A sea change on the island continent: frameworks for risk assessment,prevention and intervention in child health in Australia

This article overviews prevention and early intervention approaches focusing specifically on their relevance to the health of children and young people in Australia. Australian public health has a sound track record although concealed within the aggregate profile are a number of sub-populations with poorer health indicators. Recognition of this has increased efforts to improve the health of children and young people especially in exploring the impact of social environments within the communities where children are raised. This paper examines emerging research in this area drawing out key lessons and learning from Australian experience in the field of early intervention and prevention in community settings.     

Production strategy decisions a simulation model approach

Model building in physical, statistical, simulation or other form, is making an increasing contribution to the problem solving methodology in economics, industry, government, and technological development (1). More specifically, in the present context, simulation models can offer a distinctive and valuable contribution to the understanding by management of complex business systems, interactions and environment and indicate ways toward improvement, financial and otherwise (2). The advent of powerful computers in the last few years is the decisive factor which has decided the means of realizing the full potential of simulation models, hitherto unattainable because of the vast amount of data processing and calculation required. The purpose of this article is to indicate the approach to and scope of a computerized simulation model for long term production strategy decision making (3). While the model relates to the system and data of a specific production unit, manufacturing electronic components, the principles are widely applicable in any size and type of company. It is not a specifically large company technique.     

Minimal treatments and problem gamblers: A preliminary investigation

In view of the increasing popularity of minimal intervention treatments for problem drinking, a self-help manual for people who wish to reduce or stop gambling was prepared. Twenty-nine (ACT residents) who responded to advertisements for help with problem gambling were allocated to either of two minimal treatments, Manual (only) and Manual & Interview. On average, clients from both groups reduced the frequency of their gambling sessions, frequency of overspending, and amount spent per week in the first three months and next three months after first contact, but expenditure per session increased from three to six months, after an initial improvement. There was no evidence that a single in-depth interview added to the effectiveness of the manual.This project was funded by a grant from the Australian National University Faculties Research Fund.     

The changing structure of food retailing in europe: the implications for strategy

European food retailers have increased their scale and scope while concentrating sales into large stores. Strategic implications include the need for scale to compete and organisational relationships to move from supply push to demand pull retailing. Consequences are different for private label and for branded manufacturers, who must respond to the demands of retail supply chains whilst retaining control of product development. Further concentration in both sectors is likely. Consumers are more mobile, but more captive to the retailer in store. Public policy makers are challenged to find new measures of retail power and both allow for innovation and ensure equitable shopping opportunities.     

Regression coefficient analysis for correlated binomial outcomes

At present, the generalized estimating equation (GEE) and weighted least-squares (WLS) regression methods are the most widely used methods for analyzing correlated binomial data; both are easily implemented using existing software packages. We propose an alternative technique, i.e. regression coefficient analysis (RCA), for this type of data. In RCA, a regression equation is computed for each of n individuals; regression coefficients are averaged across the n equations to produce a regression equation, which predicts marginal probabilities and which can be tested to address hypotheses of different slopes between groups, slopes different from zero, different intercepts, etc. The method is computationally simple and can be performed using standard software. Simulations and examples are used to compare the power and robustness of RCA with those of the standard GEE and WLS methods. We find that RCA is comparable with the GEE method under the conditions tested, and suggest that RCA, within specified limitations, is a viable alternative to the GEE and WLS methods in the analysis of correlated binomial data.