Queensland University of Technology

About: Queensland University of Technology is a education organization based out in Brisbane, Queensland, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 14188 authors who have published 55022 publications receiving 1496237 citations. The organization is also known as: QUT.

Mandatory reporting legislation in the United States, Canada, and Australia: a cross-jurisdictional review of key features, differences, and issues.

Abstract: Mandatory child abuse reporting laws have developed in particular detail in the United States, Canada, and Australia as a central part of the governments' strategy to detect cases of abuse and neglect at an early stage, protect children, and facilitate the provision of services to children and families. However, the terms of these laws differ in significant ways, both within and between these nations, with the differences tending to broaden or narrow the scope of cases required to be reported and by whom. The purpose of this article is to provide a current and systematic review of mandatory reporting legislation in the 3 countries that have invested most heavily in them to date. A comparison of key elements of these laws is conducted, disclosing significant differences and illuminating the issues facing legislatures and policymaking bodies in countries already having the laws. These findings will also be instructive to those jurisdictions still developing their laws and to those that may, in the future, choose to design a system of mandatory reporting.

Creative Industries after the First Decade of Debate

Abstract: It has now been over a decade since the concept of creative industries was first put into the public domain by the Blair Labour government's Creative Industries Mapping Documents in Britain. The concept has gained traction globally, but it has also been understood and developed in different ways in Europe, Asia, Australia, New Zealand, and North America, as well as through international bodies such as UNCTAD and UNESCO. A review of the policy literature reveals that although questions and issues remain around definitional coherence, there is some degree of consensus emerging about the size, scope, and significance of the sectors in question in both advanced and developing economies. At the same time, debate about the concept remains highly animated in media, communication, and cultural studies, with its critics dismissing the concept outright as a harbinger of neoliberal ideology in the cultural sphere. This article couches such critiques in light of recent debates surrounding the intellectual coherence of the concept of neoliberalism, arguing that this term itself possesses problems when taken outside of the Anglo-American context in which it originated. It is argued that issues surrounding the nature of participatory media culture, the relationship between cultural production and economic innovation, and the future role of public cultural institutions can be developed from within a creative industries framework and that writing off such arguments as a priori ideological and flawed does little to advance debates about twentieth-century information and media culture.

i-vector based speaker recognition on short utterances

Abstract: Robust speaker verification on short utterances remains a key consideration when deploying automatic speaker recognition, as many real world applications often have access to only limited duration speech data. This paper explores how the recent technologies focused around total variability modeling behave when training and testing utterance lengths are reduced. Results are presented which provide a comparison of Joint Factor Analysis (JFA) and i-vector based systems including various compensation techniques; Within-Class Covariance Normalization (WCCN), LDA, Scatter Difference Nuisance Attribute Projection (SDNAP) and Gaussian Probabilistic Linear Discriminant Analysis (GPLDA). Speaker verification performance for utterances with as little as 2 sec of data taken from the NIST Speaker Recognition Evaluations are presented to provide a clearer picture of the current performance characteristics of these techniques in short utterance conditions.