title: Te Whare o Te Kahikatoa: He Kura nui, he Kura roa, he Kura Parawhakawai

authors: Rangihau, Ngatai

subjects: Kahikatoa

abstract: “Te Whare o te Kahikatoa,
Te Iho o te Maire,
Te Pōkaitāniwhaniwha o te Kohu”
(TKPOT, 2010-2016).¹

Ka hoki nei kia Te Maunga rāua ko Hinepukohurangi, ki te taetanga mai hoki o Mataatua waka², ko ngā kura o tawhito, kura wānanga, kura parawhakawai o te iwi o Tūhoe ngā tino whare whakapakari pōkaitāniwhaniwha mō roto i te whare o te kahikatoa. Īnā te rahi o ngā toataumatarau i puta ngā ihu, ka tū rātau hai toa rangatira ārahi i te iwi. Ki te kore ēneki kura o te nehenehe kāre he oranga, kāre e eke te iwi ngā whakairinga tūmanako e wawatatia ana e rātau.
 
Waihoki, ko te kaupapa e rangahau ana i tēnei tuhinga he whakapono, he whakapae, kai konei tonu tēnei hua o te wānanga. He kura hai whakapakari rangatira mō āpōpō. Ahakoa tēnei ao hurihuri koinei tonu tētahi huarahi nā te Māori, nā Tūhoe hai whakaohooho mā ngā uri whakaheke, e mau pū ai a Ngāi Tūhoe ki ōna kura tapu o nehe.

text: Te Whare o Te Kahikatoa: He Kura nui, he Kura roa, he Kura Parawhakawai “Te Whare o te Kahikatoa,
Te Iho o te Maire,
Te Pōkaitāniwhaniwha o te Kohu”
(TKPOT, 2010-2016).¹

Ka hoki nei kia Te Maunga rāua ko Hinepukohurangi, ki te taetanga mai hoki o Mataatua waka², ko ngā kura o tawhito, kura wānanga, kura parawhakawai o te iwi o Tūhoe ngā tino whare whakapakari pōkaitāniwhaniwha mō roto i te whare o te kahikatoa. Īnā te rahi o ngā toataumatarau i puta ngā ihu, ka tū rātau hai toa rangatira ārahi i te iwi. Ki te kore ēneki kura o te nehenehe kāre he oranga, kāre e eke te iwi ngā whakairinga tūmanako e wawatatia ana e rātau.
 
Waihoki, ko te kaupapa e rangahau ana i tēnei tuhinga he whakapono, he whakapae, kai konei tonu tēnei hua o te wānanga. He kura hai whakapakari rangatira mō āpōpō. Ahakoa tēnei ao hurihuri koinei tonu tētahi huarahi nā te Māori, nā Tūhoe hai whakaohooho mā ngā uri whakaheke, e mau pū ai a Ngāi Tūhoe ki ōna kura tapu o nehe.

year: 2017

title: Te Mata Ono-The six faces of Māori broadcasting

authors: Kaire-Melbourne, Kimiora

subjects: Māori broadcasting

abstract: Māori have always been involved in media communication and from a traditional viewpoint karanga, whaikōrero, taonga pūoro, haka, waiata and mōteatea are all mediums used to share messages across a mass audience. Since the arrival of European settlers, we have seen Māori content disseminated through platforms such as newspaper, radio, and more recently via the medium of television. This particular study is concerned with the way that Māori are represented and information is shared via indigenous broadcaster, Māori Television. Using a theoretical model made up of six key components, this thesis asserts that Te Mata Ono could not only help to improve the production of Māori content but also reshape and modify the medium of television itself, to become more culturally appropriate. Ultimately, this model could guide Māori Television, outlining a Māori specific approach to broadcasting. This study is one part of a two-part study. Due to the limitations of a four-paper masters thesis, I will only be examining three elements of Te Mata Ono, which are Mata Māori, Mata ō-tua and Mata Pākehā. Another thesis that was conducted simultaneously by Te Aorere Pewhairangi explores the remaining three elements of the same model, Mata Iwi, Mata Ako and Mata Tikanga. Te Mata Ono could be applied to Māori Television, making a positive contribution to the future development of Māori broadcasting.

text: Te Mata Ono-The six faces of Māori broadcasting Māori have always been involved in media communication and from a traditional viewpoint karanga, whaikōrero, taonga pūoro, haka, waiata and mōteatea are all mediums used to share messages across a mass audience. Since the arrival of European settlers, we have seen Māori content disseminated through platforms such as newspaper, radio, and more recently via the medium of television. This particular study is concerned with the way that Māori are represented and information is shared via indigenous broadcaster, Māori Television. Using a theoretical model made up of six key components, this thesis asserts that Te Mata Ono could not only help to improve the production of Māori content but also reshape and modify the medium of television itself, to become more culturally appropriate. Ultimately, this model could guide Māori Television, outlining a Māori specific approach to broadcasting. This study is one part of a two-part study. Due to the limitations of a four-paper masters thesis, I will only be examining three elements of Te Mata Ono, which are Mata Māori, Mata ō-tua and Mata Pākehā. Another thesis that was conducted simultaneously by Te Aorere Pewhairangi explores the remaining three elements of the same model, Mata Iwi, Mata Ako and Mata Tikanga. Te Mata Ono could be applied to Māori Television, making a positive contribution to the future development of Māori broadcasting.

year: 2019

title: Inferring User Actions from Provenance Logs

authors: Li, Xin

abstract: Progger, a kernel-spaced cloud data provenance logger which provides fine-grained data activity records, was recently developed to empower cloud stakeholders to trace data life cycles within and across clouds. Progger logs have the potential to allow analysts to infer user actions and create a data-centric behaviour history in a cloud computing environment. However, the Progger logs are complex and noisy and therefore, currently this potential can not be met. This paper proposes a statistical approach to efficiently infer the user actions from the Progger logs. Inferring logs which capture activities at kernel-level granularity is not a straightforward endeavour. This paper overcomes this challenge through an approach which shows a high level of accuracy. The key aspects of this approach are identifying the data preprocessing steps and attribute selection. We then use four standard classification models and identify the model which provides the most accurate inference on user actions. To our best knowledge, this is the first work of its kind. We also discuss a number of possible extensions to this work. Possible future applications include the ability to predict an anomalous security activity before it occurs.

text: Inferring User Actions from Provenance Logs Progger, a kernel-spaced cloud data provenance logger which provides fine-grained data activity records, was recently developed to empower cloud stakeholders to trace data life cycles within and across clouds. Progger logs have the potential to allow analysts to infer user actions and create a data-centric behaviour history in a cloud computing environment. However, the Progger logs are complex and noisy and therefore, currently this potential can not be met. This paper proposes a statistical approach to efficiently infer the user actions from the Progger logs. Inferring logs which capture activities at kernel-level granularity is not a straightforward endeavour. This paper overcomes this challenge through an approach which shows a high level of accuracy. The key aspects of this approach are identifying the data preprocessing steps and attribute selection. We then use four standard classification models and identify the model which provides the most accurate inference on user actions. To our best knowledge, this is the first work of its kind. We also discuss a number of possible extensions to this work. Possible future applications include the ability to predict an anomalous security activity before it occurs.

year: 2015