A Changing Focus: The Evolution of Irish Step Dancing Competitions in Australia

Abstract

Considerable differences exist between Irish step dancing competitions in the current era and those which were held in the late nineteenth century. This article traces the evolution of step dancing competition praxes in Australia, exposing the multiple transformations which have occurred over time. It focuses on the shift from cultural representation to individual aesthetics and the ways in which this change has resulted from disparate influences both within the genre itself and from the broader sociocultural status of Irish immigrants in Australia.

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks

“…In the work of multilayer perceptron neural network, the function coincidence is imminent, which is defined by the nested function set of the weighted sum of input and threshold value, and the weight matrix is calculated through recursive iteration, and the output is calculated. Different from other feedforward neural networks such as MLP, the working principle of RBF neural network function fitting is to map the input directly to the high-dimensional space, and then carry out a single linear weighting and output in the output layer, so that the supervision and training time of weights are greatly reduced [ 18 , 19 ]. In radial basis function neural network, the number of nodes in the input layer is consistent with the input dimension of the learning sample, while the number of nodes in the output layer is consistent with the output dimension of the actual problem.…”