title: Tūtereinga o Pirirākau: He piringa rākau,  he piringa whakairo, he piringa whare, he piringa mana Māori motuhake Reclaiming identity and mana Māori motuhake

authors: Rolleston, Elisha

subjects: Ngāti Ranginui

abstract: Since the early 19th century, colonisation has deeply harmed Pirirākau, a hapū of Ngāti Ranginui in Tauranga moana, severely and consistently undermining our vitality, livelihood, ambitions, and aspirations. Colonisation through the lens of land alienation, economic impoverishment, mass settler immigration, warfare, cultural marginalisation and assimilation, and multi-level hegemonic racism has had profound negative impacts on the identity, connectedness, sense of belonging, and mana Māori motuhake for Pirirākau.

As a counter-colonial strategy, this thesis explores the role that the Tūtereinga whare whakairo has contributed towards the reclamation of the identity and mana Māori motuhake for Pirirākau. Tūtereinga whare whakairo, a mnemonic architectural vessel fashioned with anthropomorphic figures, is pivotal in the reclamation of the identity and mana Māori motuhake for Pirirākau. Our wharenui is the focal point of our marae – Tūtereinga and remains the cornerstone of the identity of Pirirākau. The historic moments manifested in its carved patterns and structural elements are inextricably connected with and dependent upon the structure of the world fabricated by mātauranga Māori. However, due to the disastrous effects of colonisation, whakairo rākau and its associated architectural practices that are central to Māori identity and mana Māori motuhake suffered decline in many parts of Aotearoa, leading to the detrimental impacts of Māori identity and mana Māori motuhake.

Our wharenui Tūtereinga is a visual representation of our identity and mana that preserves our whakapapa, history, and inter-generational narratives unique to Pirirākau in the form of whakairo rākau, tukutuku, and kōwhaiwhai, enabling the transmission of knowledge for generations through traditional narratives and customary protocols and practices.

text: Tūtereinga o Pirirākau: He piringa rākau,  he piringa whakairo, he piringa whare, he piringa mana Māori motuhake Reclaiming identity and mana Māori motuhake Since the early 19th century, colonisation has deeply harmed Pirirākau, a hapū of Ngāti Ranginui in Tauranga moana, severely and consistently undermining our vitality, livelihood, ambitions, and aspirations. Colonisation through the lens of land alienation, economic impoverishment, mass settler immigration, warfare, cultural marginalisation and assimilation, and multi-level hegemonic racism has had profound negative impacts on the identity, connectedness, sense of belonging, and mana Māori motuhake for Pirirākau.

As a counter-colonial strategy, this thesis explores the role that the Tūtereinga whare whakairo has contributed towards the reclamation of the identity and mana Māori motuhake for Pirirākau. Tūtereinga whare whakairo, a mnemonic architectural vessel fashioned with anthropomorphic figures, is pivotal in the reclamation of the identity and mana Māori motuhake for Pirirākau. Our wharenui is the focal point of our marae – Tūtereinga and remains the cornerstone of the identity of Pirirākau. The historic moments manifested in its carved patterns and structural elements are inextricably connected with and dependent upon the structure of the world fabricated by mātauranga Māori. However, due to the disastrous effects of colonisation, whakairo rākau and its associated architectural practices that are central to Māori identity and mana Māori motuhake suffered decline in many parts of Aotearoa, leading to the detrimental impacts of Māori identity and mana Māori motuhake.

Our wharenui Tūtereinga is a visual representation of our identity and mana that preserves our whakapapa, history, and inter-generational narratives unique to Pirirākau in the form of whakairo rākau, tukutuku, and kōwhaiwhai, enabling the transmission of knowledge for generations through traditional narratives and customary protocols and practices.

year: 2024

title: The centrality of relationships for pedagogy: The Whanaungatanga Thesis

authors: Bishop, Russell

subjects: addressing educational disparities

abstract: Te Kotahitanga is a research and professional development project that seeks to reduce educational disparities between indigenous Māori students and their non-Māori peers in New Zealand secondary schools. While evidence of the impact of the project on teachers’ practice and the associated gains made by Māori students has been published previously, in order for the work of Te Kotahitanga to contribute to the broader educational research community, its pedagogical premises require empirical verification. To do so, we must first establish the validity of the pedagogical data by addressing two questions: (a) To what degree can the data gathered in the collaborative processes of Te Kotahitanga be used as a measure of pedagogical quality? and (b) Do these data support the foundational hypothesis of the project, that “extended family” relationships, as understood by Māori people when using the Māori term, whanaungatanga, are a central necessary component of overall pedagogical quality? This article provides an account of the context of this work then presents an analysis directed to these questions in turn. First, our analysis of the observational data gathered during the Te Kotahitanga professional development process is presented, followed by the measures that were developed for each of the main dimensions of pedagogy addressed in this work. Second, using these measures we present our analysis of the inter-relation among these dimensions of pedagogy to test the Whanaungatanga pedagogical thesis.

text: The centrality of relationships for pedagogy: The Whanaungatanga Thesis Te Kotahitanga is a research and professional development project that seeks to reduce educational disparities between indigenous Māori students and their non-Māori peers in New Zealand secondary schools. While evidence of the impact of the project on teachers’ practice and the associated gains made by Māori students has been published previously, in order for the work of Te Kotahitanga to contribute to the broader educational research community, its pedagogical premises require empirical verification. To do so, we must first establish the validity of the pedagogical data by addressing two questions: (a) To what degree can the data gathered in the collaborative processes of Te Kotahitanga be used as a measure of pedagogical quality? and (b) Do these data support the foundational hypothesis of the project, that “extended family” relationships, as understood by Māori people when using the Māori term, whanaungatanga, are a central necessary component of overall pedagogical quality? This article provides an account of the context of this work then presents an analysis directed to these questions in turn. First, our analysis of the observational data gathered during the Te Kotahitanga professional development process is presented, followed by the measures that were developed for each of the main dimensions of pedagogy addressed in this work. Second, using these measures we present our analysis of the inter-relation among these dimensions of pedagogy to test the Whanaungatanga pedagogical thesis.

year: 2013

title: Identification and visualization of key topics in scientific publications with transformer-based language models and document clustering methods

authors: Weng, Min-Hsien

abstract: With the rapidly growing number of scientific publications, researchers face an increasing challenge of discovering the current research topics and methodologies in a scientific domain. This paper describes an unsupervised topic detection approach that utilizes the new development of transformer-based GPT-3 (Generative Pretrained Transformer 3) similarity embedding models and modern document clustering techniques. In total, 593 publication abstracts across urban study and machine learning domains were used as a case study to demonstrate the three phases of our approach. The iterative clustering phase uses the GPT-3 embeddings to represent the semantic meaning of abstracts and deploys the HDBSCAN (Hierarchical Density-based Spatial Clustering of Applications with Noise) clustering algorithm along with silhouette scores to group similar abstracts. The keyword extraction phase identifies candidate words from each abstract and selects keywords using the Maximal Marginal Relevance ranking algorithm. The keyword grouping phase produces the keyword groups to represent topics in each abstract cluster, again using GPT-3 embeddings, the HDBSCAN algorithm, and silhouette scores. The results are visualized in a web-based interactive tool that allows users to explore abstract clusters and examine the topics in each cluster through keyword grouping. Our unsupervised topic detection approach does not require labeled datasets for training and has the potential to be used in bibliometric analysis in a large collection of publications.

text: Identification and visualization of key topics in scientific publications with transformer-based language models and document clustering methods With the rapidly growing number of scientific publications, researchers face an increasing challenge of discovering the current research topics and methodologies in a scientific domain. This paper describes an unsupervised topic detection approach that utilizes the new development of transformer-based GPT-3 (Generative Pretrained Transformer 3) similarity embedding models and modern document clustering techniques. In total, 593 publication abstracts across urban study and machine learning domains were used as a case study to demonstrate the three phases of our approach. The iterative clustering phase uses the GPT-3 embeddings to represent the semantic meaning of abstracts and deploys the HDBSCAN (Hierarchical Density-based Spatial Clustering of Applications with Noise) clustering algorithm along with silhouette scores to group similar abstracts. The keyword extraction phase identifies candidate words from each abstract and selects keywords using the Maximal Marginal Relevance ranking algorithm. The keyword grouping phase produces the keyword groups to represent topics in each abstract cluster, again using GPT-3 embeddings, the HDBSCAN algorithm, and silhouette scores. The results are visualized in a web-based interactive tool that allows users to explore abstract clusters and examine the topics in each cluster through keyword grouping. Our unsupervised topic detection approach does not require labeled datasets for training and has the potential to be used in bibliometric analysis in a large collection of publications.

year: 2022-11-01