title: Maori and mining in New Zealand and beyond

authors: Hart, Philip

abstract: Before the arrival of Europeans, Maori had known of the existence of gold but did not mine it and had no understanding of its value. Once mining commenced in California in 1849 and Australia in the early 1850s, many Maori participated on several fields, especially in Victoria. When gold was first discovered in New Zealand, at Coromandel in 1852, Maori were keen to learn prospecting skills, and soon found gold in several parts of both the North and South Islands. Some alluvial claims were worked communally, even some women participating. From the start, Maori were determined to protect their rights against Pakeha when they were rivals for the same ground.  
On the Hauraki Peninsula, which had no alluvial gold, Maori were prospectors rather than miners. Some were successful, often going against the wishes of rangatira who, fearing that opening goldfields would result in their losing their land, refused access to prospectors, particularly in Ohinemuri. At Thames, Maori prospectors succeeded where Pakeha ones had failed, finding the gold that led to the 1867 rush; a rush encouraged by one rangatira in particular, Wirope Hoterene Taipari, who understood how a successful field would benefit him financially (including obtaining a reward for discovering a payable goldfield). After the opening of this field, some Maori prospected throughout the peninsula and elsewhere for the remainder of the century, with varying success but with some good finds, particularly at Kuaotunu. A few even participated in the Klondike rush. By the twentieth century, Maori were overcoming their reluctance to mine underground, notably in the coalmines of the Waikato, but until then almost none had seen mining as a full-time career. 
Indigenous inhabitants throughout the world successfully prospected for precious metals, but their achievements were commonly written out of history, as for example in Australia, where Aboriginal involvement is only now being uncovered. In New Zealand also, Maori achievements, although well known to contemporaries, have largely been forgotten. At the time, Maori prospector’s successes were praised and many became owners of claims, and in some cases benefited financially from their involvement in mining.

text: Maori and mining in New Zealand and beyond Before the arrival of Europeans, Maori had known of the existence of gold but did not mine it and had no understanding of its value. Once mining commenced in California in 1849 and Australia in the early 1850s, many Maori participated on several fields, especially in Victoria. When gold was first discovered in New Zealand, at Coromandel in 1852, Maori were keen to learn prospecting skills, and soon found gold in several parts of both the North and South Islands. Some alluvial claims were worked communally, even some women participating. From the start, Maori were determined to protect their rights against Pakeha when they were rivals for the same ground.  
On the Hauraki Peninsula, which had no alluvial gold, Maori were prospectors rather than miners. Some were successful, often going against the wishes of rangatira who, fearing that opening goldfields would result in their losing their land, refused access to prospectors, particularly in Ohinemuri. At Thames, Maori prospectors succeeded where Pakeha ones had failed, finding the gold that led to the 1867 rush; a rush encouraged by one rangatira in particular, Wirope Hoterene Taipari, who understood how a successful field would benefit him financially (including obtaining a reward for discovering a payable goldfield). After the opening of this field, some Maori prospected throughout the peninsula and elsewhere for the remainder of the century, with varying success but with some good finds, particularly at Kuaotunu. A few even participated in the Klondike rush. By the twentieth century, Maori were overcoming their reluctance to mine underground, notably in the coalmines of the Waikato, but until then almost none had seen mining as a full-time career. 
Indigenous inhabitants throughout the world successfully prospected for precious metals, but their achievements were commonly written out of history, as for example in Australia, where Aboriginal involvement is only now being uncovered. In New Zealand also, Maori achievements, although well known to contemporaries, have largely been forgotten. At the time, Maori prospector’s successes were praised and many became owners of claims, and in some cases benefited financially from their involvement in mining.

year: 2016

title: Beyond Pākehā paralysis: Exploring the journeys & experiences of Pākehā allyship in psychology

authors: Stolte, Ottilie Emma Elisabeth

abstract: The monocultural foundation of psychology is interwoven with the colonial history of Aotearoa New Zealand. Not all of the mahi of decolonising psychology is the responsibility of Māori. In Aotearoa, there is currently less literature around the development of racial justice allyship and how Pākehā (as the dominant majority) can work towards honouring Te Tiriti o Waitangi. This paper draws on interviews with three Pākehā allies who have taken actions towards greater inclusion of Māori and raising awareness of systemic injustices and racial disparities. The objective of this paper is to document the understandings shared by these ‘reluctant allies’, focusing on the challenges, possibilities, and suggestions for a more culturally relevant psychological education and practice for Aotearoa New Zealand.

text: Beyond Pākehā paralysis: Exploring the journeys & experiences of Pākehā allyship in psychology The monocultural foundation of psychology is interwoven with the colonial history of Aotearoa New Zealand. Not all of the mahi of decolonising psychology is the responsibility of Māori. In Aotearoa, there is currently less literature around the development of racial justice allyship and how Pākehā (as the dominant majority) can work towards honouring Te Tiriti o Waitangi. This paper draws on interviews with three Pākehā allies who have taken actions towards greater inclusion of Māori and raising awareness of systemic injustices and racial disparities. The objective of this paper is to document the understandings shared by these ‘reluctant allies’, focusing on the challenges, possibilities, and suggestions for a more culturally relevant psychological education and practice for Aotearoa New Zealand.

year: 2025

title: Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification

authors: Soares, J.V.B.

abstract: We present a method for automated segmentation of the vasculature in retinal images. The method produces segmentations by classifying each image pixel as vessel or nonvessel, based on the pixel's feature vector. Feature vectors are composed of the pixel's intensity and two-dimensional Gabor wavelet transform responses taken at multiple scales. The Gabor wavelet is capable of tuning to specific frequencies, thus allowing noise filtering and vessel enhancement in a single step. We use a Bayesian classifier with class-conditional probability density functions (likelihoods) described as Gaussian mixtures, yielding a fast classification, while being able to model complex decision surfaces. The probability distributions are estimated based on a training set of labeled pixels obtained from manual segmentations. The method's performance is evaluated on publicly available DRIVE (Staal et al.,2004) and STARE (Hoover et al.,2000) databases of manually labeled images. On the DRIVE database, it achieves an area under the receiver operating characteristic curve of 0.9614, being slightly superior than that presented by state-of-the-art approaches. We are making our implementation available as open source MATLAB scripts for researchers interested in implementation details, evaluation, or development of methods.

text: Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification We present a method for automated segmentation of the vasculature in retinal images. The method produces segmentations by classifying each image pixel as vessel or nonvessel, based on the pixel's feature vector. Feature vectors are composed of the pixel's intensity and two-dimensional Gabor wavelet transform responses taken at multiple scales. The Gabor wavelet is capable of tuning to specific frequencies, thus allowing noise filtering and vessel enhancement in a single step. We use a Bayesian classifier with class-conditional probability density functions (likelihoods) described as Gaussian mixtures, yielding a fast classification, while being able to model complex decision surfaces. The probability distributions are estimated based on a training set of labeled pixels obtained from manual segmentations. The method's performance is evaluated on publicly available DRIVE (Staal et al.,2004) and STARE (Hoover et al.,2000) databases of manually labeled images. On the DRIVE database, it achieves an area under the receiver operating characteristic curve of 0.9614, being slightly superior than that presented by state-of-the-art approaches. We are making our implementation available as open source MATLAB scripts for researchers interested in implementation details, evaluation, or development of methods.

year: 2006-09