Lawyers in the Children's Court: An Australian Perspective

1991 ◽  
Vol 37 (3) ◽  
pp. 374-392 ◽  
Author(s):  
Ngaire Naffine ◽  
Joy Wundersitz
Keyword(s):  
Significant Role ◽  
South Australia ◽  
Legal Representation ◽  
Children's Court ◽  
Children’S Court ◽  
The Impact ◽  
Court Process ◽  
Court Hearing

Using South Australia as a case study, this article examines the role and the impact of the lawyer in the children's court. It suggests that the failure of English and American researchers to find a consistently significant role for the children's lawyer may be a function of the narrowness of their focus: on the formal court process rather than on the informal processes of justice that precede the court hearing. It concludes that in South Australia, lawyers are most influential when bargaining a plea on behalf of their clients. It is in this area of discretionary justice that the young defendant may experience both the best and the worst effects of legal representation.

scholarly journals A virtual hydrological framework for evaluation of stochastic rainfall models

2018 ◽  
Author(s):  
Bree Bennett ◽  
Mark Thyer ◽  
Michael Leonard ◽  
Martin Lambert ◽  
Bryson Bates
Keyword(s):  
Evaluation Method ◽  
South Australia ◽  
Evaluation Methods ◽  
Evaluation Framework ◽  
Streamflow Prediction ◽  
Direct Evaluation ◽  
Rainfall Model ◽  
Rainfall Statistics ◽  
The Impact

Abstract. Stochastic rainfall modelling is a commonly used technique for evaluating the impact of flooding, drought or climate change in a catchment. While considerable attention is given to the development of stochastic rainfall models, significantly less attention is given to performance evaluation methods. Typical evaluation methods employ a variety of rainfall statistics. However, they give limited understanding about which rainfall characteristics are most important for reliable streamflow prediction whenever the simulated rainfall are poor. To address this issue a new evaluation method for rainfall models is introduced, with three key features: (i) streamflow-based – to give a direct evaluation of modelled streamflow performance, (ii) virtual – to avoid the issue of confounding errors in hydrological models or data, and (iii) targeted – to isolate the source of errors according to specific sites and months. The virtual hydrologic evaluation framework is applied to a case study of 22 sites in South Australia. The framework demonstrated that apparently good modelled rainfall can produce poor streamflow predictions, whilst poor modelled rainfall may lead to good streamflow predictions, as catchment processes can dampen or amplify rainfall errors when converted to streamflow. The framework identified the importance of rainfall in the wetting-up months of the catchment cycle (May and June in this case study) for providing reliable predictions of streamflow over the entire year despite their low monthly flow volume. This insight would not have been found using existing methods and highlights the importance of the virtual hydrological evaluation framework for stochastic rainfall model evaluation.

High risk infants in the children's court process in Australia: dilemmas and directions

2003 ◽  
Vol 25 (2) ◽  
pp. 121-135 ◽  
Author(s):  
Lynda Campbell ◽  
Alun Jackson ◽  
Nadine Cameron ◽  
Helen Goodman ◽  
Serena Smith
Keyword(s):  
High Risk ◽  
Children's Court ◽  
Children’S Court ◽  
High Risk Infants ◽  
Court Process

Contesting imaginaries in the Australian city: Urban planning, public storytelling and the implications for climate change

Urban Studies ◽  
2019 ◽  
Vol 57 (7) ◽  
pp. 1536-1552 ◽  
Author(s):  
Emily Potter
Keyword(s):  
Climate Change ◽  
Urban Planning ◽  
South Australia ◽  
Urban Environments ◽  
Indigenous Australians ◽  
Urban Resilience ◽  
Place Making ◽  
The Face ◽  
The Impact

In Australia, environmental degradation goes hand in hand with exclusionary and mono-vocal tactics of place-making. This article argues that dominant cultural imaginaries inform material and discursive practices of place-making with significant consequence for diverse, inclusive and climate change-responsive urban environments. Urban planning in the modern global city commonly deploys imaginaries in line with neoliberal logics, and this article takes a particular interest in the impact of this on Indigenous Australians, whose original dispossession connects through to current Indigenous urban experiences of exclusion which are set to intensify in the face of increasing climate change. The article explores what urban resilience means in this context, focusing on a case study of urban development in Port Adelaide, South Australia, and broadens the question of dispossession through the forces of global capital to potentially all of humanity in the Anthropocene.

The impact of COVID-19 on music venues in regional South Australia: A case study

Perfect Beat ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 25-32
Author(s):  
Rosie Roberts ◽  
Sam Whiting
Keyword(s):  
South Australia ◽  
Music Venues ◽  
The Impact

scholarly journals A virtual hydrological framework for evaluation of stochastic rainfall models

2019 ◽  
Vol 23 (11) ◽  
pp. 4783-4801
Author(s):  
Bree Bennett ◽  
Mark Thyer ◽  
Michael Leonard ◽  
Martin Lambert ◽  
Bryson Bates
Keyword(s):  
South Australia ◽  
Evaluation Framework ◽  
Statistical Characteristics ◽  
Surprising Result ◽  
Streamflow Prediction ◽  
Direct Evaluation ◽  
Wide Range ◽  
Rainfall Statistics ◽  
The Impact

Abstract. Stochastic rainfall modelling is a commonly used technique for evaluating the impact of flooding, drought, or climate change in a catchment. While considerable attention has been given to the development of stochastic rainfall models (SRMs), significantly less attention has been paid to developing methods to evaluate their performance. Typical evaluation methods employ a wide range of rainfall statistics. However, they give limited understanding about which rainfall statistical characteristics are most important for reliable streamflow prediction. To address this issue a formal evaluation framework is introduced, with three key features: (i) streamflow-based, to give a direct evaluation of modelled streamflow performance, (ii) virtual, to avoid the issue of confounding errors in hydrological models or data, and (iii) targeted, to isolate the source of errors according to specific sites and seasons. The virtual hydrological evaluation framework uses two types of tests, integrated tests and unit tests, to attribute deficiencies that impact on streamflow to their original source in the SRM according to site and season. The framework is applied to a case study of 22 sites in South Australia with a strong seasonal cycle. In this case study, the framework demonstrated the surprising result that apparently “good” modelled rainfall can produce “poor” streamflow predictions, whilst “poor” modelled rainfall may lead to “good” streamflow predictions. This is due to the representation of highly seasonal catchment processes within the hydrological model that can dampen or amplify rainfall errors when converted to streamflow. The framework identified the importance of rainfall in the “wetting-up” months (months where the rainfall is high but streamflow low) of the annual hydrologic cycle (May and June in this case study) for providing reliable predictions of streamflow over the entire year despite their low monthly flow volume. This insight would not have been found using existing methods and highlights the importance of the virtual hydrological evaluation framework for SRM evaluation.

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