Co-opting conservation: Migrant resource control and access to national park management in the Philippine uplands

The history of political and economic inequality in forest villages can shape how and why resource use conflicts arise during the evolution of national parks management. In the Philippine uplands, indigenous peoples and migrant settlers co-exist, compete over land and forest resources, and shape how managers preserve forests through national parks. This article examines how migrants have claimed lands and changed production and exchange relations among the indigenous Tagbanua to build on and benefit from otherwise coercive park management on Palawan Island, the Philippines. Migrant control over productive resources has influenced who, within each group, could sustain agriculture in the face of the state's dominant conservation narrative - valorizing migrant paddy rice and criminalizing Tagbanua swiddens. Upon settling, migrant farmers used new political and economic strengths to tap into provincial political networks in order to be hired at a national park. As a result, they were able to steer management to support paddy rice at the expense of swidden cultivation. While state conservation policy shapes how national parks impact upon local resource access and use, older political economic inequalities in forest villages build on such policies to influence how management affects the livelihoods of poor households.

Modelling pre-clearing vegetation distribution using GIS-integrated statistical, ecological and data models: A case study from the wet tropics of Northeastern Australia

Traditional vegetation mapping methods use high cost, labour-intensive aerial photography interpretation. This approach can be subjective and is limited by factors such as the extent of remnant vegetation, and the differing scale and quality of aerial photography over time. An alternative approach is proposed which integrates a data model, a statistical model and an ecological model using sophisticated Geographic Information Systems (GIS) techniques and rule-based systems to support fine-scale vegetation community modelling. This approach is based on a more realistic representation of vegetation patterns with transitional gradients from one vegetation community to another. Arbitrary, though often unrealistic, sharp boundaries can be imposed on the model by the application of statistical methods. This GIS-integrated multivariate approach is applied to the problem of vegetation mapping in the complex vegetation communities of the Innisfail Lowlands in the Wet Tropics bioregion of Northeastern Australia. The paper presents the full cycle of this vegetation modelling approach including sampling sites, variable selection, model selection, model implementation, internal model assessment, model prediction assessments, models integration of discrete vegetation community models to generate a composite pre-clearing vegetation map, independent data set model validation and model prediction's scale assessments. An accurate pre-clearing vegetation map of the Innisfail Lowlands was generated (0.83r(2)) through GIS integration of 28 separate statistical models. This modelling approach has good potential for wider application, including provision of. vital information for conservation planning and management; a scientific basis for rehabilitation of disturbed and cleared areas; a viable method for the production of adequate vegetation maps for conservation and forestry planning of poorly-studied areas. (c) 2006 Elsevier B.V. All rights reserved.

'Looking good, feeling better': Consumption, Control and the Aesthetics of Exclusivity in the Service Encounter

The majority of ‘service’ literature has focused on the production side of service work (i.e. employees and management), while treating the role of the customer and/or consumer as secondary (Korczynski and Ott, 2004). Those authors who have addressed the role consumption plays in shaping and maintaining individuals' self- identity have tended to overemphasize the dominance of consumer culture in shaping ‘our consciousness’ (Ritzer, 1999), with little in the way of empirical evidence to support these assertions. This paper develops the conceptualization of service work and consumer culture literature, by placing more emphasis on the customer in the service encounter. Using an ethnographic study of a ‘high class’ department store, this paper addresses employee and customer identity and the nature of managerial, employee and customer control within this ‘exclusive’ context. Of particular interest is how employees and customer’s ‘embody’ this control. Using Bourdieu’s (1986) conception of class and habitus, the concept of exclusivity goes beyond the management /service worker dyad by providing a means of investigating identity control by the organization over both customers and service workers. However, an organization’s exclusivity is not a closed normative pursuit of control, and shows this enterprise is part of a contested terrain, while revealing the ambiguity and ‘openness’ of control practices and pursuits. In order to uphold the ideal of exclusivity, management, service workers and customers must all engage in a precarious quest for establishing and maintaining a sense of control and/or identity. This paper demonstrates the continuing contradiction between bureaucratic practices of control and consumer culture, and highlights the need for research that investigates the context -dependent nature of control in service-related and consumer studies.

Load profiling and data mining techniques in electricity deregulated market

This paper presents load profiles of electricity customers, using the knowledge discovery in databases (KDD) procedure, a data mining technique, to determine the load profiles for different types of customers. In this paper, the current load profiling methods are compared using data mining techniques, by analysing and evaluating these classification techniques. The objective of this study is to determine the best load profiling methods and data mining techniques to classify, detect and predict non-technical losses in the distribution sector, due to faulty metering and billing errors, as well as to gather knowledge on customer behaviour and preferences so as to gain a competitive advantage in the deregulated market. This paper focuses mainly on the comparative analysis of the classification techniques selected; a forthcoming paper will focus on the detection and prediction methods.