title: Ka mate ko te mate, ka ora taku toa: Ko ngā matawhāura o te rau tau tekau mā iwa

authors: Murphy, Kane Ēnoka George

subjects: Matawhaura

abstract: Tēnei te urutomo atu ki te rau tau o te tekau mā iwa ki te nanaiore i ngā tai o te Matawhāura i ngaeki ai te whenua i horo ai tuanuku, i horo ai te tangata, i tū ai te rangatiratanga. Ko te kimihanga i te āhua ki te tikanga ki te pakanga, ki te mate te ihoiho, ko te rapunga i te āhua ki ōna neke, ki ōna nuku, ki ōna panoni, ki ōna hounga te whainga. Kei te kapi katoa ki tā te pukapuka, i tā te tuhinga. Wāhia ana kia whā ōna ahoaho, koia, ko te pūtakenga mai o te riri, o te Matawhāura. Muringa iho, ko ngā Matawhāura a te Māori ki te Māori. Ka whāia mai ko ngā riri ki te Pākehā, ā, ko ngā pakanga a te mana poropiti, mutu iho ki te kōtuitui.

Ko te whakaohooho, ko te whakamataara i a Ngāi Māori, i a Ngāi tauiwi otīa, i a Ngāi iwi taketake ki te nōhanga mai o te hītori ki te ahurea o te whenua, ki te ahurea o te tangata, ki ōna tuakiritanga. Ko te whakaariari i te āhua o te tikanga a te pakanga, a te mate me ōna neke i te oma a te wā i roto i te whakaeke a te iwi tini ngerongero ki te unu i te mono o te whenua o te iwi pū taketake. Ko te whakaihiihi i te iwi ka rawakoretia, ka reo koretia, ka whenua koretia, ka tikanga koretia. Ko te whakaatuatu i tā te Māori, i tā te Pākehā ki tā te kupu Māori, ki tā anō te kupu Pākehā.

Ko tōna mutunga iho, ko te whakakitenga ake, ko te whakatinanatanga i te mau tonu a te tikanga ki ngā rohe o te pakanga o te mate, ko te neke māna ko te panoni i ngā wāhi i kitea ai he huarahi ki te ora, he toa, he mau tonu ki tētahi pitonga whenua e huraia mai he tōnuitanga mā ngā uri whakatipu. Ko te hari i te kaupapa mā roto tonu i te reo ake a te kōrero, i te reo ake o te whenua. Ko te takahanga i te ara o te whakarauora i te reo, i te tikanga, i te tuakiri, i te mana Māori motuhake. Ko tōna otinga atu, ko te whakairi ake i ngā mahi a ngā tūpuna e ū ai te tangata whenuatanga e kitea ai ko tā rātou, e pātaia ai, he aha ia tā tātou?

text: Ka mate ko te mate, ka ora taku toa: Ko ngā matawhāura o te rau tau tekau mā iwa Tēnei te urutomo atu ki te rau tau o te tekau mā iwa ki te nanaiore i ngā tai o te Matawhāura i ngaeki ai te whenua i horo ai tuanuku, i horo ai te tangata, i tū ai te rangatiratanga. Ko te kimihanga i te āhua ki te tikanga ki te pakanga, ki te mate te ihoiho, ko te rapunga i te āhua ki ōna neke, ki ōna nuku, ki ōna panoni, ki ōna hounga te whainga. Kei te kapi katoa ki tā te pukapuka, i tā te tuhinga. Wāhia ana kia whā ōna ahoaho, koia, ko te pūtakenga mai o te riri, o te Matawhāura. Muringa iho, ko ngā Matawhāura a te Māori ki te Māori. Ka whāia mai ko ngā riri ki te Pākehā, ā, ko ngā pakanga a te mana poropiti, mutu iho ki te kōtuitui.

Ko te whakaohooho, ko te whakamataara i a Ngāi Māori, i a Ngāi tauiwi otīa, i a Ngāi iwi taketake ki te nōhanga mai o te hītori ki te ahurea o te whenua, ki te ahurea o te tangata, ki ōna tuakiritanga. Ko te whakaariari i te āhua o te tikanga a te pakanga, a te mate me ōna neke i te oma a te wā i roto i te whakaeke a te iwi tini ngerongero ki te unu i te mono o te whenua o te iwi pū taketake. Ko te whakaihiihi i te iwi ka rawakoretia, ka reo koretia, ka whenua koretia, ka tikanga koretia. Ko te whakaatuatu i tā te Māori, i tā te Pākehā ki tā te kupu Māori, ki tā anō te kupu Pākehā.

Ko tōna mutunga iho, ko te whakakitenga ake, ko te whakatinanatanga i te mau tonu a te tikanga ki ngā rohe o te pakanga o te mate, ko te neke māna ko te panoni i ngā wāhi i kitea ai he huarahi ki te ora, he toa, he mau tonu ki tētahi pitonga whenua e huraia mai he tōnuitanga mā ngā uri whakatipu. Ko te hari i te kaupapa mā roto tonu i te reo ake a te kōrero, i te reo ake o te whenua. Ko te takahanga i te ara o te whakarauora i te reo, i te tikanga, i te tuakiri, i te mana Māori motuhake. Ko tōna otinga atu, ko te whakairi ake i ngā mahi a ngā tūpuna e ū ai te tangata whenuatanga e kitea ai ko tā rātou, e pātaia ai, he aha ia tā tātou?

year: 2017

title: Māori & Psychology Research Unit Annual Report 2014

authors: Waitoki, Waikaremoana

abstract: Annual report of the Māori and Psychology Research Unit (MPRU) 2014. The unit was established in August of 1997. The unit is designed to provide a catalyst and support network for enhancing research concerning the psychological needs, aspirations, and priorities of Maori people. The MPRU is well situated to draw together skilled and experienced interdisciplinary research groups by networking and establishing working relationships with staff and students within the Faculty of Arts and Social Sciences, the University, and the wider community.

text: Māori & Psychology Research Unit Annual Report 2014 Annual report of the Māori and Psychology Research Unit (MPRU) 2014. The unit was established in August of 1997. The unit is designed to provide a catalyst and support network for enhancing research concerning the psychological needs, aspirations, and priorities of Maori people. The MPRU is well situated to draw together skilled and experienced interdisciplinary research groups by networking and establishing working relationships with staff and students within the Faculty of Arts and Social Sciences, the University, and the wider community.

year: 2014

title: A simple approach to ordinal classification

authors: Frank, Eibe

abstract: Machine learning methods for classification problems commonly assume that the class values are unordered. However, in many practical applications, the class values do exhibit a natural order—for example, when learning how to grade. The standard approach to ordinal classification converts the class value into a numeric quantity and applies a regression learner to the transformed data, translating the output back into a discrete class value in a post-processing step. A disadvantage of this method is that it can only be applied in conjunction with a regression scheme.

In this paper, we present a simple method that enables standard classification algorithms to make use of ordering information in class attributes. By applying it in conjunction with a decision tree learner, we show that it outperforms the naive approach, which treats the class values as an unordered set. Compared to special-purpose algorithms for ordinal classification, our method has the advantage that it can be applied without any modification to the underlying learning scheme.

text: A simple approach to ordinal classification Machine learning methods for classification problems commonly assume that the class values are unordered. However, in many practical applications, the class values do exhibit a natural order—for example, when learning how to grade. The standard approach to ordinal classification converts the class value into a numeric quantity and applies a regression learner to the transformed data, translating the output back into a discrete class value in a post-processing step. A disadvantage of this method is that it can only be applied in conjunction with a regression scheme.

In this paper, we present a simple method that enables standard classification algorithms to make use of ordering information in class attributes. By applying it in conjunction with a decision tree learner, we show that it outperforms the naive approach, which treats the class values as an unordered set. Compared to special-purpose algorithms for ordinal classification, our method has the advantage that it can be applied without any modification to the underlying learning scheme.

year: 2001