The Cultural Mediator: Bridging the Gap Between a Non-Western Community and Professional Social Work Practice

Summary This paper analyses a demonstration project that enabled socialworkers to practise effectively in their home community (a Bedouin-Arabcity in the Negev, Israel) where gender relations are patriarchaland the interface of social work and cultural practices hadpreviously impeded professional functioning. Collaborative workwith cultural mediators, individuals with high social statusand knowledge of community traditions, rendered interventionsmore culturally appropriate, bridged gaps between the culturaland professional canons, and promoted social work's role ina society that had a limited understanding of, and experiencewith, the profession. Future social work practice and researchcould focus on further enhancing women's choice making opportunitiesin this patriarchal culture.     

Women’s Reproductive Choices in Australia: Mapping Federal and State/Territory Policy Instruments Governing Choice

The reproductive choices available to women, and the consequences of those choices, exist within the broader policy context whereby policy is influenced by pervasive ideologies of women’s roles in society and the family. Women’s reproductive rights and their resulting consequences are governed by policy at the federal and state/territory levels within Australia yet little is known about the number or scope of these policies. This study aimed to systematically search and map Australian policy to identify the number and scope of policies governing women’s reproductive choices and their consequences, including how policy interprets the role of women in society through their reproductive choices. The systematic search identified 147 Australian policies in 2013. The mapping of the policies identified common themes that drive policy agenda impacting women’s reproductive choices, including those where the focus is promoting motherhood and/or children, providing economic incentives, regulating reproduction, or a broader health focus. These policy agendas simultaneously construct and are shaped by the context in which women’s reproductive choices and impacts occur. Women’s reproductive choices are highly politicised and regulated, impacting women’s position within society.     

Using Structured Decision Making to Help Implement a Precautionary Approach to Endangered Species Management

Endangered species protection is a significant risk management concern throughout North America. An extensive conceptual literature emphasizes the role to be played by precautionary approaches. Risk managers, typically working in concert with concerned stakeholders, frequently cite the concept as key to their efforts to prevent extinctions. Little has been done, however, to evaluate the multidimensional impacts of precautionary frameworks or to assist in the examination of competing precautionary risk management options as part of an applied risk management decision framework. In this article we describe how decision-aiding techniques can assist in the creation and analysis of alternative precautionary strategies, using the example of a multistakeholder committee charged with protection of endangered Cultus Lake salmon on the Canadian west coast. Although managers were required to adopt a precautionary approach, little attention had been given to how quantitative analyses could be used to help define the concept or to how a precautionary approach might be implemented in the face of difficult economic, social, and biological tradeoffs. We briefly review key steps in a structured decision-making (SDM) process and discuss how this approach was implemented to help bound the management problem, define objectives and performance measures, develop management alternatives, and evaluate their consequences. We highlight the role of strategy tables, employed to help participants identify, alternative management options. We close by noting areas of agreement and disagreement among participants and discuss the implications of decision-focused processes for other precautionary resource management efforts.     

Public Perceptions of Florida Red Tide Risks

This research integrates theoretical frameworks of risk perception, social amplification of risk, and the role of place-specific contexts in order to explore the various perceptions surrounding Florida red tides. Florida red tides are naturally occurring events that are increasing in frequency, duration, and severity. This has implications for public health, the local economy, and ecosystem health. While many of the negative impacts of Florida red tides are not easily controlled, some of the secondary impacts may be mitigated through individuals' responses. However, public perception and consequent reactions to Florida red tides have not been investigated. This research uses questionnaire surveys, and semi-structured interviews, to explore the various perceptions of the risk surrounding red tides. Surveys and interviews were conducted along two Florida west coast beaches. The results indicate that the underlying foundations of the social amplification of the risk framework are applicable to understanding how individuals form perceptions of risk relative to red tide events. There are key differences between the spatial locations of individuals and corresponding perceptions, indicating that place-specific contexts are essential to understanding how individuals receive and interpret risk information. The results also suggest that individuals may be lacking efficient and up-to-date information about Florida red tides and their impacts because of inconsistent public outreach. Overall, social and spatial factors appear to be influential as to whether individuals amplify or attenuate the risks associated with Florida red tides.     

Exposure Assessment for Pesticide Intake from Multiple Food Products: A Bayesian Latent‐Variable Approach

Pesticide risk assessment for food products involves combining information from consumption and concentration data sets to estimate a distribution for the pesticide intake in a human population. Using this distribution one can obtain probabilities of individuals exceeding specified levels of pesticide intake. In this article, we present a probabilistic, Bayesian approach to modeling the daily consumptions of the pesticide Iprodione though multiple food products. Modeling data on food consumption and pesticide concentration poses a variety of problems, such as the large proportions of consumptions and concentrations that are recorded as zero, and correlation between the consumptions of different foods. We consider daily food consumption data from the Netherlands National Food Consumption Survey and concentration data collected by the Netherlands Ministry of Agriculture. We develop a multivariate latent‐Gaussian model for the consumption data that allows for correlated intakes between products. For the concentration data, we propose a univariate latent‐t model. We then combine predicted consumptions and concentrations from these models to obtain a distribution for individual daily Iprodione exposure. The latent‐variable models allow for both skewness and large numbers of zeros in the consumption and concentration data. The use of a probabilistic approach is intended to yield more robust estimates of high percentiles of the exposure distribution than an empirical approach. Bayesian inference is used to facilitate the treatment of data with a complex structure.     

INCLUDING ENGINEERING IN OPERATIONS STRATEGY

Today's markets are characterized by time and product quality-based competition. Companies must compete through their ability to manage the whole cycle of product realization and delivery, from the initial concept through to delivery and support at the customer. They must do this through managing an integrated company, not a set of separate functions. This paper addresses the issue of how companies should develop operations strategies for engineering and manufacturing combined. It uses field research into 15 engineering companies to develop the concept of the manufacturing system mission, and proposes strategic choices for manufacturing, engineering and linked functions.     

Interface Style and Training Task Difficulty as Determinants of Effective Computer-Assisted Knowledge Transfer*

The transfer of expert knowledge to novices is one means of improving decision quality. Research needs to identify (1) the knowledge to be transferred to novices, and (2) the best method for transferring that knowledge. Studies that compare the judgment behavior of experienced and novice auditors address the first issue. The present study addresses the second issue in the context of using a computer-assisted training (CAT) program. CAT was selected for study because of evidence that it can both improve the effectiveness and reduce the costs of training. An experiment was conducted in which two factors were manipulated: (1) the design of the human-computer interface of the CAT program, and (2) the content of training tasks. The judgment of interest involved causal reasoning about the relationships between various internal control procedures and possible errors. The results indicate that alternative styles of interaction with a CAT program differ in terms of learning effectiveness. In addition, there was also evidence that training task content affected learning.