title: Technology, laws and values of encryption

authors: Dizon, Michael

abstract: A Matter of Security, Privacy and Trust: A study of the principles and values of encryption in New Zealand

text: Technology, laws and values of encryption A Matter of Security, Privacy and Trust: A study of the principles and values of encryption in New Zealand

year: 2021-04-21

title: Machine learning in practice: experience with agricultural databases

authors: Garner, Stephen R.

subjects: computer science

abstract: The Waikato Environment for Knowledge Analysis (weka) is a New Zealand government-sponsored initiative to investigate the application of machine learning to economically important problems in the agricultural industries. The overall goals are to create a workbench for machine learning, determine the factors that contribute towards its successful application in the agricultural industries, and develop new methods of machine learning and ways of assessing their effectiveness. The project began in 1993 and is currently working towards the fulfilment of three objectives: to design and implement the workbench, to provide case studies of applications of machine learning techniques to problems in agriculture, and to develop a methodology for evaluating generalisations in terms of their entropy. These three objectives are by no means independent. For example, the design of the weka workbench has been inspired by the demands placed on it by the case studies, and has also benefited from our work on evaluating the outcomes of applying a technique to data. Our experience throughout the development of the project is that the successful application of machine learning involves much more than merely executing a learning algorithm on some data. In this paper we present the process model that underpins our work over the past two years for the development of applications in agriculture; the software we have developed around our workbench of machine learning schemes to support this model; and the outcomes and problems we have encountered in developing applications.

text: Machine learning in practice: experience with agricultural databases The Waikato Environment for Knowledge Analysis (weka) is a New Zealand government-sponsored initiative to investigate the application of machine learning to economically important problems in the agricultural industries. The overall goals are to create a workbench for machine learning, determine the factors that contribute towards its successful application in the agricultural industries, and develop new methods of machine learning and ways of assessing their effectiveness. The project began in 1993 and is currently working towards the fulfilment of three objectives: to design and implement the workbench, to provide case studies of applications of machine learning techniques to problems in agriculture, and to develop a methodology for evaluating generalisations in terms of their entropy. These three objectives are by no means independent. For example, the design of the weka workbench has been inspired by the demands placed on it by the case studies, and has also benefited from our work on evaluating the outcomes of applying a technique to data. Our experience throughout the development of the project is that the successful application of machine learning involves much more than merely executing a learning algorithm on some data. In this paper we present the process model that underpins our work over the past two years for the development of applications in agriculture; the software we have developed around our workbench of machine learning schemes to support this model; and the outcomes and problems we have encountered in developing applications.

year: 1995-05

title: The "false generosity" of treaty settlements: innovation and contortion

authors: Te Aho, Linda

abstract: In Aotearoa New Zealand the ways in which indigenous claims to lands and waters are addressed are often looked to as good, or even best, practice by indigenous peoples around the world. While things are far from perfect, in recent decades Maori have succeeded in changing perceptions about the Treaty of Waitangi as the foundation of the nation, and work steadily continues on settling outstanding Treaty claims. The resulting Treaty of Waitangi settlements are negotiated arrangements which aim to remove a sense of historical grievance and achieve significant rebuilding of the Maori economy. They are seen by some as dynamic and powerful steps towards economic independence, as a means of recognising special relationships to lands and waters, and a necessary prerequisite to improved relationships between the state and the indigenous Maori in the future. ¹ Critics see the settlements and the processes followed to reach them as too heavily weighted in the government's favour. ² They argue that the settlements do not sufficiently compensate for actual losses. They are said to pit Maori against Maori. Diverse claimant groups are effectively forced to negotiate within standardised and fixed parameters. For these and other reasons, the settlement agreements, policies and processes have been labelled as divisive and compromising self-determination. ³

text: The "false generosity" of treaty settlements: innovation and contortion In Aotearoa New Zealand the ways in which indigenous claims to lands and waters are addressed are often looked to as good, or even best, practice by indigenous peoples around the world. While things are far from perfect, in recent decades Maori have succeeded in changing perceptions about the Treaty of Waitangi as the foundation of the nation, and work steadily continues on settling outstanding Treaty claims. The resulting Treaty of Waitangi settlements are negotiated arrangements which aim to remove a sense of historical grievance and achieve significant rebuilding of the Maori economy. They are seen by some as dynamic and powerful steps towards economic independence, as a means of recognising special relationships to lands and waters, and a necessary prerequisite to improved relationships between the state and the indigenous Maori in the future. ¹ Critics see the settlements and the processes followed to reach them as too heavily weighted in the government's favour. ² They argue that the settlements do not sufficiently compensate for actual losses. They are said to pit Maori against Maori. Diverse claimant groups are effectively forced to negotiate within standardised and fixed parameters. For these and other reasons, the settlement agreements, policies and processes have been labelled as divisive and compromising self-determination. ³

year: 2017