Agency as discursive practice: From nobody to somebody as an international student in Australia

As more and more students pursue an international education, there is a need to investigate how these students deal with the demands of their study programs in the new academic context. This paper introduces one such student, a Thai English teacher named Woody,2 and looks at the ways that he engaged with a Master of Education program in Australia. I analyse the transcripts of two interviews that I conducted with Woody in his first semester using Fairclough's model of Critical Discourse Analysis (CDA). The analysis is interested in the social and institutional demands that Woody identified as impacting on the course, and the strategic action that he took in response to them. I argue that by undertaking this action, Woody was “working” as an agent of his own change. The analysis highlights a proactive and strategic engagement on Woody's part, a point that has been missed in much of the literature on the international student experience in Australia.

Technologizing inhumanity: A discursive practice

A political interview intended to justify refugee detention in Australia is analysed using an interdisciplinary critical discourse method. Barthesian semiotic theory in which the 'Other' is the foundation of national myth provides a context for a close textual analysis using Hallidayan linguistics. The lexico-grammatical analysis identifies features associated with processes (verbs), grammatical metaphors, and nominals. Essentially, the effect is to blunt agency and distance the speaker, but, more importantly, create a classificatory system that allows humans to be treated in certain ways according to bureaucratic procedures. The discursive strategy is labelled technologizing the inhumane because it objectifies the subjective, turning profound human issues into technical issues. Analysed discursively, the interview reveals how discursive control is established and how democracy is represented as impeding the orderly procedure of 'objective' procedures.

A general-purpose tunable landscape generator

The research literature on metalieuristic and evolutionary computation has proposed a large number of algorithms for the solution of challenging real-world optimization problems. It is often not possible to study theoretically the performance of these algorithms unless significant assumptions are made on either the algorithm itself or the problems to which it is applied, or both. As a consequence, metalieuristics are typically evaluated empirically using a set of test problems. Unfortunately, relatively little attention has been given to the development of methodologies and tools for the large-scale empirical evaluation and/or comparison of metaheuristics. In this paper, we propose a landscape (test-problem) generator that can be used to generate optimization problem instances for continuous, bound-constrained optimization problems. The landscape generator is parameterized by a small number of parameters, and the values of these parameters have a direct and intuitive interpretation in terms of the geometric features of the landscapes that they produce. An experimental space is defined over algorithms and problems, via a tuple of parameters for any specified algorithm and problem class (here determined by the landscape generator). An experiment is then clearly specified as a point in this space, in a way that is analogous to other areas of experimental algorithmics, and more generally in experimental design. Experimental results are presented, demonstrating the use of the landscape generator. In particular, we analyze some simple, continuous estimation of distribution algorithms, and gain new insights into the behavior of these algorithms using the landscape generator.