title: An indigenous psychologies teaching and research hub : Enabling our resources, strengths and histories

authors: Nikora, Linda Waimarie

abstract: This paper was presented as part of an informal indigenous psychologies dialogue session at the Australian Psychological Society's annual conference. In this paper, we present the concept of an indigenous psychologies teaching and research hub that reduces distance, helps students remain in community, uses resources efficiency, and has the capacity to bring indigenous psychologist and academics into closer communication.

text: An indigenous psychologies teaching and research hub : Enabling our resources, strengths and histories This paper was presented as part of an informal indigenous psychologies dialogue session at the Australian Psychological Society's annual conference. In this paper, we present the concept of an indigenous psychologies teaching and research hub that reduces distance, helps students remain in community, uses resources efficiency, and has the capacity to bring indigenous psychologist and academics into closer communication.

year: 2014

title: Whiti te rā: A guide to connecting Māori to traditional wellbeing pathways.

authors: McLachlan, Andre David

abstract: Māori health models, introduced in the 1980s, brought needed cultural worldviews to an otherwise monocultural health system. However, minimal changes have occurred. In mainstream practice, deeper cultural understandings and action-orientations of these models can be overlooked, to the detriment of Māori wellbeing.
In particular, Māori cultural concepts such as mauri ora (an active state of wellbeing) and a secure cultural identity are notable core wellbeing pathways that need further exploration. Using a systematic narrative literature review, 36 papers identified pathways that used core cultural activities for Māori wellbeing. A thematic analysis produced six themes or pathways towards wellbeing for Māori – te reo Māori: Māori language, taiao: connection with the environment, wairua: Māori spiritual beliefs and practices, mahi-a-toi:
Māori expressive art forms, take pū whānau: Māori relational values, and whakapapa: intergenerational relationships. Forty experienced Māori psychologists analysed the themes and offered expert examples practice pathways for Māori wellbeing. The six themes and feedback is presented in a visual image Whiti Te Rā with instructions for Māori practitioners to guide whai ora Māori (Māori clients) to explore their level of knowledge and comfort, and active engagement with Māori pathways to wellbeing. The model has potential for mental health policy, future research, curriculum development, and synthesising Māori knowledge towards wellbeing pathways.

text: Whiti te rā: A guide to connecting Māori to traditional wellbeing pathways. Māori health models, introduced in the 1980s, brought needed cultural worldviews to an otherwise monocultural health system. However, minimal changes have occurred. In mainstream practice, deeper cultural understandings and action-orientations of these models can be overlooked, to the detriment of Māori wellbeing.
In particular, Māori cultural concepts such as mauri ora (an active state of wellbeing) and a secure cultural identity are notable core wellbeing pathways that need further exploration. Using a systematic narrative literature review, 36 papers identified pathways that used core cultural activities for Māori wellbeing. A thematic analysis produced six themes or pathways towards wellbeing for Māori – te reo Māori: Māori language, taiao: connection with the environment, wairua: Māori spiritual beliefs and practices, mahi-a-toi:
Māori expressive art forms, take pū whānau: Māori relational values, and whakapapa: intergenerational relationships. Forty experienced Māori psychologists analysed the themes and offered expert examples practice pathways for Māori wellbeing. The six themes and feedback is presented in a visual image Whiti Te Rā with instructions for Māori practitioners to guide whai ora Māori (Māori clients) to explore their level of knowledge and comfort, and active engagement with Māori pathways to wellbeing. The model has potential for mental health policy, future research, curriculum development, and synthesising Māori knowledge towards wellbeing pathways.

year: 2021

title: Temporal moments of a tracer pulse in a perfectly parallel flow system

authors: Bardsley, W. Earl

subjects: stratified aquifier

abstract: Perfectly parallel groundwater transport models partition water flow into isolated one-dimensional stream tubes which maintain total spatial correlation of all properties in the direction of flow. The case is considered of the temporal moments of a conservative tracer pulse released simultaneously into N stream tubes with arbitrarily different advective–dispersive transport and steady flow speeds in each of the stream tubes. No assumptions are made about the form of the individual stream tube arrival-time distributions or about the nature of the between-stream tube variation of hydraulic conductivity and flow speeds. The tracer arrival-time distribution g(t,x) is an N-component finite-mixture distribution, with the mean and variance of each component distribution increasing in proportion to tracer travel distance x. By utilising moment relations of finite mixture distributions, it is shown (to r=4) that the rth central moment of g(t,x) is an rth order polynomial function of x or φ, where φ is mean arrival time. In particular, the variance of g(t,x) is a positive quadratic function of x or φ. This generalises the well-known quadratic variance increase for purely advective flow in parallel flow systems and allows a simple means of regression estimation of the large-distance coefficient of variation of g(t,x). The polynomial central moment relation extends to the purely advective transport case which arises as a large-distance limit of advective–dispersive transport in parallel flow models. The associated limit g(t,x) distributions are of N-modal form and maintain constant shapes independent of travel distance. The finite-mixture framework for moment evaluation is also a potentially useful device for forecasting g(t,x) distributions, which may include multimodal forms. A synthetic example illustrates g(t,x) forecasting using a mixture of normal distributions.

text: Temporal moments of a tracer pulse in a perfectly parallel flow system Perfectly parallel groundwater transport models partition water flow into isolated one-dimensional stream tubes which maintain total spatial correlation of all properties in the direction of flow. The case is considered of the temporal moments of a conservative tracer pulse released simultaneously into N stream tubes with arbitrarily different advective–dispersive transport and steady flow speeds in each of the stream tubes. No assumptions are made about the form of the individual stream tube arrival-time distributions or about the nature of the between-stream tube variation of hydraulic conductivity and flow speeds. The tracer arrival-time distribution g(t,x) is an N-component finite-mixture distribution, with the mean and variance of each component distribution increasing in proportion to tracer travel distance x. By utilising moment relations of finite mixture distributions, it is shown (to r=4) that the rth central moment of g(t,x) is an rth order polynomial function of x or φ, where φ is mean arrival time. In particular, the variance of g(t,x) is a positive quadratic function of x or φ. This generalises the well-known quadratic variance increase for purely advective flow in parallel flow systems and allows a simple means of regression estimation of the large-distance coefficient of variation of g(t,x). The polynomial central moment relation extends to the purely advective transport case which arises as a large-distance limit of advective–dispersive transport in parallel flow models. The associated limit g(t,x) distributions are of N-modal form and maintain constant shapes independent of travel distance. The finite-mixture framework for moment evaluation is also a potentially useful device for forecasting g(t,x) distributions, which may include multimodal forms. A synthetic example illustrates g(t,x) forecasting using a mixture of normal distributions.

year: 2003-06