title: Biculturalism in practice, ‘Te Pounamu’: Integration of a Māori model with traditional clinical assessment processes

authors: Manna, Leona

subjects: Maori

abstract: Traditional clinical psychological assessment follows a western paradigm of interaction, which relies heavily on verbalisations of internal and external symptoms. This process relies upon the assumption of and acceptance that tangata whaiora (consumer/s) are able to do this. Training encourages a clinical psychologist to take into account differences which may or may not be obvious, e.g., differences in religious beliefs, gender, hearing, or sight. However, as clinicians we often neglect to assess tangata whaiora abilities to verbalise such information. Te Pounamu, as a Māori model demonstrates the underlying principles of Te Tiriti O Waitangi. Providing the best treatment outcomes is about acknowledging all aspects of one’s wellbeing: physical, mental, spiritual, and whānau. Te Pounamu provides a process that acknowledges such aspects in a way of knowing that is healing. From clinical experience, the interactive mode that Te Pounamu utilises has been found efficacious in assisting tangata whaiora to understand how such factors contribute to poor mental health.

text: Biculturalism in practice, ‘Te Pounamu’: Integration of a Māori model with traditional clinical assessment processes Traditional clinical psychological assessment follows a western paradigm of interaction, which relies heavily on verbalisations of internal and external symptoms. This process relies upon the assumption of and acceptance that tangata whaiora (consumer/s) are able to do this. Training encourages a clinical psychologist to take into account differences which may or may not be obvious, e.g., differences in religious beliefs, gender, hearing, or sight. However, as clinicians we often neglect to assess tangata whaiora abilities to verbalise such information. Te Pounamu, as a Māori model demonstrates the underlying principles of Te Tiriti O Waitangi. Providing the best treatment outcomes is about acknowledging all aspects of one’s wellbeing: physical, mental, spiritual, and whānau. Te Pounamu provides a process that acknowledges such aspects in a way of knowing that is healing. From clinical experience, the interactive mode that Te Pounamu utilises has been found efficacious in assisting tangata whaiora to understand how such factors contribute to poor mental health.

year: 2003

title: Effective Pākehā teachers of Māori Students

authors: Lang, Catherine Margaret

subjects: primary teaching

abstract: To teach in primary schools in Aotearoa-New Zealand means to encounter students from diverse backgrounds.  A significant proportion of those students are Māori and a significant proportion of Māori students are not achieving to their potential in school.  There are several reasons for this under-achievement, which this thesis explores, and there is substantial research evidence as to what will turn this situation around, which is also explored.  Some argue that the answer is for Māori learners to be taught by Māori teachers, and in Māori medium contexts.  This approach has achieved considerable success for a small number of Māori learners; however, the demographic data tell us that for now, the significant majority of Māori learners are in English language medium classrooms, taught by non-Māori teachers.  At present, there are not enough Māori teachers to teach all Māori learners.
The New Zealand Ministry of Education has goals for improving the achievement of Māori learners through providing “high-quality, culturally responsive education that incorporates the identity, language and culture of Māori students, and engages their parents, families and whānau” (Ministry of Education, 2008).  The Ministry and the New Zealand Teachers Council expect all teachers to be ‘culturally competent’, that is, to teach in culturally responsive ways.
The Ministry of Education’s research and development project, Te Kōtahitanga, continues to provide evidence of ‘what works’ for Māori learners in New Zealand secondary schools.  The effective teaching profile that was developed as part of this project informs this thesis.

The thesis describes qualitative, social justice-based, case study research undertaken between late 2004 and 2006 with four effective Pākehā primary teachers of Māori children, and with children from those classes and their parents/whānau.  The study sought to glean insights about what characterises effective Pākehā primary teachers of Māori students.

text: Effective Pākehā teachers of Māori Students To teach in primary schools in Aotearoa-New Zealand means to encounter students from diverse backgrounds.  A significant proportion of those students are Māori and a significant proportion of Māori students are not achieving to their potential in school.  There are several reasons for this under-achievement, which this thesis explores, and there is substantial research evidence as to what will turn this situation around, which is also explored.  Some argue that the answer is for Māori learners to be taught by Māori teachers, and in Māori medium contexts.  This approach has achieved considerable success for a small number of Māori learners; however, the demographic data tell us that for now, the significant majority of Māori learners are in English language medium classrooms, taught by non-Māori teachers.  At present, there are not enough Māori teachers to teach all Māori learners.
The New Zealand Ministry of Education has goals for improving the achievement of Māori learners through providing “high-quality, culturally responsive education that incorporates the identity, language and culture of Māori students, and engages their parents, families and whānau” (Ministry of Education, 2008).  The Ministry and the New Zealand Teachers Council expect all teachers to be ‘culturally competent’, that is, to teach in culturally responsive ways.
The Ministry of Education’s research and development project, Te Kōtahitanga, continues to provide evidence of ‘what works’ for Māori learners in New Zealand secondary schools.  The effective teaching profile that was developed as part of this project informs this thesis.

The thesis describes qualitative, social justice-based, case study research undertaken between late 2004 and 2006 with four effective Pākehā primary teachers of Māori children, and with children from those classes and their parents/whānau.  The study sought to glean insights about what characterises effective Pākehā primary teachers of Māori students.

year: 2013

title: Aging and rejuvenating strategies for fading windows in multi-label classification on data streams

authors: Roseberry, Martha

subjects: computer science

abstract: Combining the challenges of streaming data and multi-label learning, the task of mining a drifting, multi-label data stream requires methods that can accurately predict label sets, adapt to various types of concept drift, and run fast enough to process each data point before the next arrives. To achieve greater accuracy, many multi-label algorithms use computationally expensive techniques, such as multiple adaptive windows, with little concern for runtime and memory complexity. We present Aging and Rejuvenating kNN (ARkNN), which uses simple resources and efficient strategies to weight instances based on age, predictive performance, and similarity to the incoming data. We break down ARkNN into its component strategies to show the impact of each and experimentally compare ARkNN to seven state-of-the-art methods for learning from multi-label data streams. We demonstrate that it is possible to achieve competitive performance in multi-label classification on streams without sacrificing runtime and memory use, and without using complex and computationally expensive dual memory strategies.

text: Aging and rejuvenating strategies for fading windows in multi-label classification on data streams Combining the challenges of streaming data and multi-label learning, the task of mining a drifting, multi-label data stream requires methods that can accurately predict label sets, adapt to various types of concept drift, and run fast enough to process each data point before the next arrives. To achieve greater accuracy, many multi-label algorithms use computationally expensive techniques, such as multiple adaptive windows, with little concern for runtime and memory complexity. We present Aging and Rejuvenating kNN (ARkNN), which uses simple resources and efficient strategies to weight instances based on age, predictive performance, and similarity to the incoming data. We break down ARkNN into its component strategies to show the impact of each and experimentally compare ARkNN to seven state-of-the-art methods for learning from multi-label data streams. We demonstrate that it is possible to achieve competitive performance in multi-label classification on streams without sacrificing runtime and memory use, and without using complex and computationally expensive dual memory strategies.

year: 2023-03-27