ORCID Profile
0000-0002-5753-6928
Current Organisation
University of South Australia
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Publisher: SAGE Publications
Date: 05-08-2022
DOI: 10.1177/00113921221114925
Abstract: This article explores young people’s consumption of credit and the role of credit and debt in the distinction between youth and adulthood. The article engages with recent shifts in the nature of credit that have turned credit into an object of consumption in itself, as well as broader arguments about the financialisation of daily life, in order to understand the temporalities and moral distinctions enacted in different forms of credit and debt among youth. While it is well recognised that financialised capitalism operates and creates value from differences including gender, racialisation and class, the formation of youth subjectivities through credit and debt technologies remains unexplored in the literature despite an emerging crisis of consumer credit among young people. With this in mind, this article draws on a qualitative study of youth, credit and debt, to show that young people experience debt within contradictory temporalities and calculative logics, including the long-term ‘investments’ required to become an adult, and the logic of consumption attached to consumer credit which positions credit as a failure of self-responsible adulthood because it places future creditworthiness in jeopardy. In this way, the article suggests a future research agenda on the way that biographical distinctions are enacted through credit and debt, and how notions of youth and adulthood contribute to the qualification and consumption of credit.
Publisher: Informa UK Limited
Date: 12-02-2023
Publisher: Informa UK Limited
Date: 19-02-2016
Publisher: Informa UK Limited
Date: 14-03-2022
Publisher: Springer International Publishing
Date: 2020
Publisher: Informa UK Limited
Date: 08-03-2017
Publisher: Routledge
Date: 16-03-2023
Publisher: Informa UK Limited
Date: 24-12-2022
Publisher: Proceedings of the National Academy of Sciences
Date: 30-08-2011
Abstract: Midbrain dopamine neurons signal reward value, their prediction error, and the salience of events. If they play a critical role in achieving specific distant goals, long-term future rewards should also be encoded as suggested in reinforcement learning theories. Here, we address this experimentally untested issue. We recorded 185 dopamine neurons in three monkeys that performed a multistep choice task in which they explored a reward target among alternatives and then exploited that knowledge to receive one or two additional rewards by choosing the same target in a set of subsequent trials. An analysis of anticipatory licking for reward water indicated that the monkeys did not anticipate an immediately expected reward in in idual trials rather, they anticipated the sum of immediate and multiple future rewards. In accordance with this behavioral observation, the dopamine responses to the start cues and reinforcer beeps reflected the expected values of the multiple future rewards and their errors, respectively. More specifically, when monkeys learned the multistep choice task over the course of several weeks, the responses of dopamine neurons encoded the sum of the immediate and expected multiple future rewards. The dopamine responses were quantitatively predicted by theoretical descriptions of the value function with time discounting in reinforcement learning. These findings demonstrate that dopamine neurons learn to encode the long-term value of multiple future rewards with distant rewards discounted.
Publisher: Informa UK Limited
Date: 02-06-2023
Publisher: Informa UK Limited
Date: 08-07-2015
Publisher: Wiley
Date: 24-05-2023
DOI: 10.1111/JADE.12460
Abstract: Digital automation is on the rise in a erse range of industries. The technologies employed here often make use of artificial intelligence (AI) and its common form, machine learning (ML) to augment or replace the work completed by human agents. The recent emergence of a variety of design automation platforms inspired the authors to undertake a review of the research literature on the impact of Automation, AI and ML on visual communication, and its subset practice of graphic design, with a view to understanding the implications for the education of practitioners entering that specific field. This review discovered that there was relatively little research published on the topic but what did exist noted that graphic design as we have known it has an uncertain future. Furthermore, the scant literature argued for a shift in educational and professional focus away from the aesthetic and technical skills required to design visual modes of communication and towards a deeper engagement with the softer, more human skills associated with negotiation, facilitation and judgement. The paucity of literature on this topic suggests to the authors that visual communication design education and the industry are poorly prepared for the impact of automation, AI and ML on them.
Publisher: Springer International Publishing
Date: 2022
No related grants have been discovered for Barrie Shannon.