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Magda Miranda

Bio: Magda Miranda is an academic researcher from Deakin University. The author has contributed to research in topics: Narrative inquiry & Dramaturgy. The author has an hindex of 1, co-authored 2 publications receiving 2 citations.

Papers
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Journal ArticleDOI
01 Jan 2015
TL;DR: In this article, the authors present discoveries from a practice-led research inquiry into the mediated translation of narrative elements within the making of autobiographical performance Train Tracks and Rooftops.
Abstract: Autobiographical performance is often characterised by a linguistic approach to storytelling. This paper presents discoveries from a practice-led research inquiry into the mediated translation of narrative elements within the making of autobiographical performance Train Tracks and Rooftops. Specifically, it presents the way sonic texts emerged within the process of translating away from narrative form. The paper sets out the technical aspects of the process and critiques the shift in meaning that comes from an understanding of sound dramaturgy and sound as performance architecture. The experience of the maker/performers’ relationship to their live and mediated voice is discussed.

2 citations

Journal ArticleDOI
TL;DR: The theater affords us a way to think. It holds, inflects, and problematizes memory, and opens an alternate space within which to interrogate memory as an individual experience and a shared collectivity as mentioned in this paper.
Abstract: The theater affords us a way to think. It holds, inflects, and problematizes memory, and opens an alternate space within which to interrogate memory as an individual experience and a shared collect...

2 citations


Cited by
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Journal ArticleDOI
David Roesner1
TL;DR: Sound and noise are currently experiencing a long-overdue renaissance in the discourses on theatre, theatricality and performance as mentioned in this paper, after a disproportionate amount of attention directed towards visu...
Abstract: Sound and noise are currently experiencing a long-overdue renaissance in the discourses on theatre, theatricality and performance. After a disproportionate amount of attention directed towards visu...

10 citations

Journal ArticleDOI
TL;DR: In this paper , the authors present a response to Kirt A. Shineman's Last Words, staged at the NCA Annual Convention in November 2021, and reflect upon the potential impacts of experimental, audience-activated performance work and the challenges of adapting immersive performance for conference spaces.
Abstract: This essay is a response to Kirt A. Shineman’s Last Words, staged at the NCA Annual Convention in November 2021. The author uses this essay to reflect upon the potential impacts of experimental, audience-activated performance work and the challenges of adapting immersive performance for conference spaces.
Journal ArticleDOI
TL;DR: In this paper , the authors analyzed the factors that impact theatrical communication in the context of big data, based on the original innovation diffusion model, analyzed the limitations of its application, analyzes the innovation characteristics of theatrical stage makeup modeling from a qualitative perspective, and confirms the improvement direction of the original diffusion model.
Abstract: Abstract Character styling design can clearly show the background of story characters and the characteristics of the times in the performance of stage plays. Integrating traditional culture with the art of stage plays is important for developing theatrical communication. In this paper, we analyze the factors that impact theatrical communication in the context of big data. Based on the original innovation diffusion model, it analyzes the limitations of its application, analyzes the innovation characteristics of theatrical stage makeup modeling from a qualitative perspective, finds that its diffusion characteristics do not conform to the prerequisite assumptions of the original innovation diffusion model, and confirms the improvement direction of the innovation diffusion model. Based on the analysis of audience data by the full data analysis method, the main influencing factors affecting the diffusion of opera heritage are identified, and their practical significance in the improved model is analyzed. The original innovation diffusion model is improved quantitatively, and an iterative diffusion model is established. Empirical analysis of the iterative diffusion model was conducted using the actual diffusion data of opera stage makeup styling. The research results show that the initial diffusion rates of the products are, in descending order, Cheese Superman, TikTok, Watermelon Video, and Punchbowl. Among them, the cumulative diffusion of TikTok is the highest at 14, and the diffusion rate of Watermelon Video is 0.68. It indicates that the above products effectively spread opera culture and highlight the charm of opera stage makeup styling.