Regimes of risk: the need for a pedagogy for peer groups

Peer groups matter more than we think. In this paper we assert that peer group commitments and affiliations are often the primary social reference in determining the way young people think about and practice risk. It is, we argue, inappropriate to impose adult constructions of risk-taking and anti-social behaviour when trying to assert influence over the decisions and practices young people make in the context of their peers. Prominent in our discussion is a concern that mainstream educational theory and practice focuses disproportionately on the individual and their capacity to make rational and independent choices. We believe that within this individualizing framework, teachers have only a very limited capacity to influence the practices and decisions young people make in the presence of their peers, their friends. To ground this discussion we juxtapose the actions and interactions of two young male peer groups, to highlight their respective constructions of group identity.

Peer groups, power and pedagogy : the limits of an educational paradigm of separation

In contrast to the plethora of literature that suggests that the increasing gulf between teachers and young people is due to the shifting interests and expectations of young people, the focus of this paper is on the roles teachers play in this relationship. Provoking interest is a concern that some of the assumptions that underpin 'mainstream' pedagogic theory and practice might actually contribute, albeit unwittingly, to hardening rather than softening the communication divide. Drawing on an incident that took place between a group of 7–8 year old males in a primary school setting, the authors reveal the limits of a teaching paradigm that encourages teachers to adopt authoritative positions from which to separate and individualise student behaviour. In theoretical terms, they argue that the application of this paradigm asserts an exaggerated notion of agency to individuals in the construction of identity. In practical terms it promotes processes that individualise behaviour as a way of dealing with miscreance. Together these manifest themselves as a 'pedagogy of separation'. The process of building more productive pedagogic relationships, it is concluded, needs to begin with teachers better recognising and engaging with the collective investments of young people.

A field test of the diversity-openness moderator model in newly formed groups: openness to diversity affects group decision effectiveness and interaction patterns

Detrimental effects of diversity in workgroups has frequently been observed but research identifying the factors that lead to negative or positive effects in heterogeneous groups is lacking. The perceived dissimilarity openness moderator model provides one explanation of the process by which diversity influences group affective, behavioral, and cognitive outcomes. Specifically the model identifies individual, group, and organizational openness as moderating the effects of diversity in workgroups. In this paper evidence is provided from a field study that increased openness to perceived dissimilarity leads to better outcomes in newly formed groups. This study also constitutes a significant building block toward the development of theory concerning the moderating variables of the relationship between diversity and group processes, and outcomes of organizations.

Is the risk of illness through consuming vegetables irrigated with reclaimed wastewater different for different population groups?

The use of reclaimed wastewater for irrigation of horticultural crops is commonplace in many parts of the world and is likely to increase. Concerns about risks to human health arising from such practice, especially with respect to infection with microbial pathogens, are common. Several factors need to be considered when attempting to quantify the risk posed to a population, such as the concentration of pathogens in the source water, water treatment efficiency, the volume of water coming into contact with the crop, and the die-off rate of pathogens in the environment. Another factor, which has received relatively less attention, is the amount of food consumed. Plainly, higher consumption rates place one at greater risk of becoming infected. The amount of vegetables consumed is known to vary among ethic groups. We use Quantitative Microbial Risk Assessment Modelling (QMRA) to see if certain ethnic groups are exposed to higher risks by virtue of their consumption behaviour. The results suggest that despite the disparities in consumption rates by different ethnic groups they generally all faced comparable levels of risks. We conclude by suggesting that QMRA should be used to assess the relative levels of risk faced by groups based on divisions other than ethnicity, such as those with compromised immune systems.

The role of informal groups in organisational knowledge work : understanding an emerging community of practice

Managers and researchers alike have sought new ways to address the challenges of sharing dispersed knowledge in modern business environments. Careful consideration by sharers of receivers’ knowledge needs and behaviours may improve the effectiveness of knowledge sharing. This research examines how sharers react to their perceptions of receivers’ knowledge needs and behaviours when making choices relating to sharing knowledge. The focus of this article is to propose and empirically explore a theoretical framework for a study of the role of the receiver in knowledge sharing — receiver-based theory. Data collected from two case studies highlight a key role played by perceived receiver knowledge needs and behaviours in shaping sharer choices when explicit knowledge is shared. A set of receiver influences on knowledge sharing is provided that highlights key receiver and sharer issues. The paper concludes that companies should develop better ways to connect potential sharers with receivers’ real knowledge needs. Further, the findings suggest that sharing on a need-to-know basis hinders change in organisational power structures, and prevents the integration of isolated pockets of knowledge that may yield new value.

Linking human and ecosystem health: the benefits of community involvement in conservation groups

This study explored the health, well-being, and social capital benefits gained by community members who are involved in the management of land for conservation in six rural communities across Victoria. A total of 102 people participated in the study (64 males; 38 females) comprising 51 members of a community-based land management group and 51 controls matched by age and gender. Mixed methods were employed, including the use of an adapted version of Buckner’s (1988) Community Cohesion Scale. The results indicate that involvement in the management of land for conservation may contribute to both the health and well-being of members, and to the social capital of the local community. The members of the land management groups rated their general health higher, reported visiting the doctor less often, felt safer in the local community, and utilized the skills that they have acquired in their lifetime more frequently than the control participants. Male members reported the highest level of general health, and the greatest satisfaction with daily activities. Members also reported a greater sense of belonging to the local community and a greater willingness to work toward improving their community than their control counterparts. Of equal importance is evidence that involvement in voluntary conservation work constitutes a means of building social capital in rural communities which may help reduce some of the negative aspects of rural life.

The potentialities of focus groups in e-business research : theory validation

Focus groups enable the rapid and timely collation, integration and assembly of the views of a variety of different types of stakeholders into plausible theory. This paper examines the usefulness of the focus group as an e-business research method, using a case study of focus group deployment for the purpose of theory validation as its illustration. Our results suggest that a focus group can be effective as a strategy in e-business research, while providing the relevance and multidisciplinary approach found lacking in more common empirical methods. We provide a set of guidelines for effective focus groups in e-business research.

The impact of social phobia on quality of life: the advantages of anxiety support groups

Social phobia is the least well known of the anxiety disorders and it is perhaps also the least well understood. The lifetime prevalence rates for social phobia, which range from 3% to 13%, clearly indicate that social phobia is a widespread mental health problem. Those affected by social phobia often live their lives around the limitations of the disorder including avoidance of social situations, depression and loneliness. Thus for these individuals, social phobia becomes an impairing disorder which can have long-term negative impacts on work performance and social relationships. Anxiety support groups offer an important resource to sufferers of social phobia. Support groups provide a potentially safe and confidential environment in which to interact with others. Support groups also have the potential to help to de-stigmatize the disorders for sufferers as all members share similar concerns that are often not well understood by others. The practical benefits to be derived from anxiety support groups are presented through the discussion of two case studies.

Groups, graphs and mutually unbiased bases

A new characteristic free approach to constructing large sets of mutually unbiased bases in Hilbert space is developed. We associate with a seed set of bases a finite subgroup of which defines a strongly regular graph. Large sets of mutually unbiased bases are obtained as the cliques of the graph.

Finding rule groups to classify high dimensional gene expression datasets

Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attracted bioinformatics researchers. Some approaches of machine learning are widely used to classify and mine biological datasets. However, many gene expression datasets are extremely high dimensionality, traditional machine learning methods can not be applied effectively and efficiently. This paper proposes a robust algorithm to find out rule groups to classify gene expression datasets. Unlike the most classification algorithms, which select dimensions (genes) heuristically to form rules groups to identify classes such as cancerous and normal tissues, our algorithm guarantees finding out best-k dimensions (genes), which are most discriminative to classify samples in different classes, to form rule groups for the classification of expression datasets. Our experiments show that the rule groups obtained by our algorithm have higher accuracy than that of other classification approaches

Extending abelian groups to rings

For any abelian group G and any function f : G → G we define a commutative binary operation or `multiplication' on G in terms of f. We give necessary and sufficient conditions on f for G to extend to a commutative ring with the new multiplication. In the case where G is an elementary abelian p-group of odd order, we classify those functions which extend G to a ring and show, under an equivalence relation we call weak isomorphism, that there are precisely six distinct classes of rings constructed using this method with additive group the elementary abelian p-group of odd order p².