title: Learning Distance Metrics for Multi-Label Classification

authors: Gouk, Henry

subjects: Distance Metric Learning

abstract: Distance metric learning is a well studied problem in the field of machine learning, where it is typically used to improve the accuracy of instance based learning techniques. In this paper we propose a distance metric learning algorithm that is specialised for multi-label classification tasks, rather than the multiclass setting considered by most work in this area. The method trains an embedder that can transform instances into a feature space where squared Euclidean distance provides an estimate of the Jaccard distance between the corresponding label vectors. In addition to a linear Mahalanobis style metric, we also present a nonlinear extension that provides a substantial boost in performance. We show that this technique significantly improves upon current approaches for instance based multi-label classification, and also enables interesting data visualisations.

text: Learning Distance Metrics for Multi-Label Classification Distance metric learning is a well studied problem in the field of machine learning, where it is typically used to improve the accuracy of instance based learning techniques. In this paper we propose a distance metric learning algorithm that is specialised for multi-label classification tasks, rather than the multiclass setting considered by most work in this area. The method trains an embedder that can transform instances into a feature space where squared Euclidean distance provides an estimate of the Jaccard distance between the corresponding label vectors. In addition to a linear Mahalanobis style metric, we also present a nonlinear extension that provides a substantial boost in performance. We show that this technique significantly improves upon current approaches for instance based multi-label classification, and also enables interesting data visualisations.

year: 2016

title: Dressing for battle in the new global economy: Putting power, identity, and discourse into public relations theory

authors: Weaver, C. Kay

subjects: public relations

abstract: This article argues that public relations theorists need to acknowledge their generally unspoken support for, and allegiance to, corporate capitalist power and to reconsider that allegiance in the context of the new economy. In my view, such a move would encourage more open consideration of whether public relations scholarship should be contributing uncritically to the development of a globalized capitalist economy and of where public relations theory should be positioned in relation to the development of that economy. If mainstream public relations theory were more open to theorizing structures of power, it would also be more open to consideration of how public relations practice could be appropriated by, and work to serve the interests of, those groups who perceive themselves as disempowered by globalization or who oppose the philosophies and/or economic effects of that globalization.

text: Dressing for battle in the new global economy: Putting power, identity, and discourse into public relations theory This article argues that public relations theorists need to acknowledge their generally unspoken support for, and allegiance to, corporate capitalist power and to reconsider that allegiance in the context of the new economy. In my view, such a move would encourage more open consideration of whether public relations scholarship should be contributing uncritically to the development of a globalized capitalist economy and of where public relations theory should be positioned in relation to the development of that economy. If mainstream public relations theory were more open to theorizing structures of power, it would also be more open to consideration of how public relations practice could be appropriated by, and work to serve the interests of, those groups who perceive themselves as disempowered by globalization or who oppose the philosophies and/or economic effects of that globalization.

year: 2001-11-01

title: Succeeding as Māori: Māori students’ views on our Stepping Up to the Ka Hikitia Challenge

authors: Berryman, Mere

subjects: Ka Hikitia

abstract: This paper examines the vision and intent of New Zealand’s Māori education policy, Ka Hikitia, and its implications on the daily lives of Māori students in New Zealand’s education system. Extensive information on the secondary school experiences of rangatahi Māori (youth) have been gathered—originally in 2001 and at the end of 2015, through Kia Eke Panuku: Building on Success (Kia Eke Panuku: Building on Success is a secondary school reform initiative that is fully funded by the Ministry of Education, however, this paper represents the view of the authors and is not necessarily the view of the Ministry). Based on the messages from these two points in time, the paper concludes that the promises of Ka Hikitia are yet to be fully realised. If we, as educators, are to leave a legacy of more Māori students fashioning and leading our future, the need for the system to step up still remains.

text: Succeeding as Māori: Māori students’ views on our Stepping Up to the Ka Hikitia Challenge This paper examines the vision and intent of New Zealand’s Māori education policy, Ka Hikitia, and its implications on the daily lives of Māori students in New Zealand’s education system. Extensive information on the secondary school experiences of rangatahi Māori (youth) have been gathered—originally in 2001 and at the end of 2015, through Kia Eke Panuku: Building on Success (Kia Eke Panuku: Building on Success is a secondary school reform initiative that is fully funded by the Ministry of Education, however, this paper represents the view of the authors and is not necessarily the view of the Ministry). Based on the messages from these two points in time, the paper concludes that the promises of Ka Hikitia are yet to be fully realised. If we, as educators, are to leave a legacy of more Māori students fashioning and leading our future, the need for the system to step up still remains.

year: 2017