Gender equity policies in higher education in Japan

In a similar fashion to many western countries, the political context of Japan has been transformed since the 1975 UN World Conference on Women, which eventually led to the establishment of the Basic Law for a Gender-equal Society in Japan in 1999. The Basic Law sets out a series of general guidelines across every field of society, including education. This trajectory policy research study targets gender issues in Japanese higher education and follows the development of the Basic Law and, in particular, how it has been interpreted by bureaucrats and implemented within the field of higher education. This feminist policy research study examines Japanese power relationships within the field of gender and identifies gender discourses embedded within Japanese gender equity policy documents. The study documents the experiences of, and strategies used by, Japanese feminists in relation to gender equity policies in education. Drawing on critical feminist theory and feminist critical discourse theory, the study explores the relationship between gender discourses and social practices and analyses how unequal gender relations have been sustained through the implementation of Japanese gender equity policy. Feminist critical policy analysis and feminist critical discourse analysis have been used to examine data collected through interviews with key players, including policy makers and policy administrators from the national government and higher education institutions offering teacher education courses. The study also scrutinises the minutes of government meetings, and other relevant policy documents. The study highlights the struggles between policy makers in the government and bureaucracy, and feminist educators working for change. Following an anti-feminist backlash, feminist discourses in the original policy documents were weakened or marginalised in revisions, ultimately weakening the impact of the Basic Law in the higher education institutions. The following four key findings are presented within the research: 1) tracking of the original feminist teachers’ movement that existed just prior to the development of the Basic Law in 1999; 2) the formation of the Basic Law, and how the policy resulted in a weakening of the main tenets of women’s policy from a feminist perspective; 3) the problematic manner in which the Basic Law was interpreted at the bureaucratic level; and 4) the limited impact of the Basic Law on higher education and the strategies and struggles of feminist scholars in reaction to this law.

The role of academic community in higher learning : Alternatives to a drive-thru education

The purpose of our paper is to illustrate the fundamental importance of developing academic community among first year students. We argue that a sense of academic community is of fundamental importance in combating the effects of the neo-liberal economic discourse on higher education, and that the values of higher education are incongruent with those of economic rationalism. The discursive commodification of the student, and of education itself, works against the formation of community, both within the university environment and in the wider society. We argue that, at present, the dominant discourse shaping the social practice of higher education is that of neo-liberal economics. Community values stand in opposition to the dominant discourse, and are integral to the long-term survival of a socially critical and socially responsive society. We conclude that the importance of establishing a sense of academic community during the first year of university is justified by its ultimate value to society.

Understanding nonsense : breathing life into shibboleths and killing critical thought in higher education

In this paper, I focus on the growing "nonsense industry" which is most apparent in the writing typical of business, government departments, and the financial press. This writing, like technical writing, is characterised by heavy reliance on grammatical metaphor. It endows shibboleths - for instance, "globalisation"; "efficiencies"; "competition"; "modernisation"; "consumer sentiment"; "reform"; and so on - with anthropomorphic qualities. These anthropomorphic artefacts of technocratised language are then presented as having immutable powers over people. Thus they become banal public excuses for negligent practices in both business and government.

Redefining excellence : a strategic policy framework for community engagement and higher education

This report provides a current overview and analysis of the role of universities in local community development in the State of Victoria. Drawing on successful programs of community engagement in Victoria, Australia, Europe, Africa, and North America, the report proposes policy strategies for fostering community development for Victorian Higher Education through effective community engagement programs.

Measuring risk and blameworthiness in the sentencing of criminal defendants : an exploratory study in Western Australia's Higher Courts

The focal concern perspective dominates quantitative explorations of judicial sentencing. A critical argument underlying this perspective is the role of judicial assessments of risk and blameworthiness. Prior research has not generally explored how these two concepts fit together. This study provides an empirical test of the focal concerns perspective by examining the latent structure among the measures traditionally used in sentencing research, and investigates the extent to which focal concerns can be applied in a non-US jurisdiction. Using factor analysis (as suggested by prior research), we find evidence of distinct factors of risk and blameworthiness, with separate and independent effects on sentencing outcomes. We also identify the need for further development of the focal concerns perspective, especially around the role of perceptual shorthand.

Surveying the state of higher education in energy efficiency, in Australian engineering curriculum

This paper presents the method and results of a survey of 27 of the 33 Australian universities teaching engineering education in late 2007, undertaken by The Natural Edge Project (hosted by Griffith University and the Australian National University) and supported by the National Framework for Energy Efficiency. This survey aimed to ascertain the extent of energy efficiency (EE) education, and to identify preferred methods to assist in increasing the extent to which EE education is embedded in engineering curriculum. In this paper the context for the survey is supported by a summary of the key results from a variety of surveys undertaken over the last decade internationally. The paper concludes that EE education across universities and engineering disciplines in Australia is currently highly variable and ad hoc. Based on the results of the survey, this paper highlights a number of preferred options to support educators to embed sustainability within engineering programs, and future opportunities for monitoring EE, within the context of engineering education for sustainable development (EESD).

Improving the provision of learning assistance services in higher education

This study is motivated by the need to look continually for ways to improve Griffith University's learning assistance services so that they meet the changed needs of stakeholders and are at the same time cost-effective and efficient. This study uses the conceptual tools of cultural-historical activity theory and expansive visibilisation to investigaate the developmenet and transformation of learning assistance services at Griffith University, one of Australia's largest mult-campus universities.

Application of higher order spectra to identify epileptic EEG

Epilepsy is characterized by the spontaneous and seemingly unforeseeable occurrence of seizures, during which the perception or behavior of patients is disturbed. An automatic system that detects seizure onsets would allow patients or the people near them to take appropriate precautions, and could provide more insight into this phenomenon. Various methods have been proposed to predict the onset of seizures based on EEG recordings. The use of nonlinear features motivated by the higher order spectra (HOS) has been reported to be a promising approach to differentiate between normal, background (pre-ictal) and epileptic EEG signals. In this work, we made a comparative study of the performance of Gaussian mixture model (GMM) and Support Vector Machine (SVM) classifiers using the features derived from HOS and from the power spectrum. Results show that the selected HOS based features achieve 93.11% classification accuracy compared to 88.78% with features derived from the power spectrum for a GMM classifier. The SVM classifier achieves an improvement from 86.89% with features based on the power spectrum to 92.56% with features based on the bispectrum.

Pattern recognition using invariants defined from higher order spectra : 2-D image inputs

A new algorithm for extracting features from images for object recognition is described. The algorithm uses higher order spectra to provide desirable invariance properties, to provide noise immunity, and to incorporate nonlinearity into the feature extraction procedure thereby allowing the use of simple classifiers. An image can be reduced to a set of 1D functions via the Radon transform, or alternatively, the Fourier transform of each 1D projection can be obtained from a radial slice of the 2D Fourier transform of the image according to the Fourier slice theorem. A triple product of Fourier coefficients, referred to as the deterministic bispectrum, is computed for each 1D function and is integrated along radial lines in bifrequency space. Phases of the integrated bispectra are shown to be translation- and scale-invariant. Rotation invariance is achieved by a regrouping of these invariants at a constant radius followed by a second stage of invariant extraction. Rotation invariance is thus converted to translation invariance in the second step. Results using synthetic and actual images show that isolated, compact clusters are formed in feature space. These clusters are linearly separable, indicating that the nonlinearity required in the mapping from the input space to the classification space is incorporated well into the feature extraction stage. The use of higher order spectra results in good noise immunity, as verified with synthetic and real images. Classification of images using the higher order spectra-based algorithm compares favorably to classification using the method of moment invariants

Shape discrimination using invariants defined from higher-order spectra

An approach to pattern recognition using invariant parameters based on higher-order spectra is presented. In particular, bispectral invariants are used to classify one-dimensional shapes. The bispectrum, which is translation invariant, is integrated along straight lines passing through the origin in bifrequency space. The phase of the integrated bispectrum is shown to be scale- and amplification-invariant. A minimal set of these invariants is selected as the feature vector for pattern classification. Pattern recognition using higher-order spectral invariants is fast, suited for parallel implementation, and works for signals corrupted by Gaussian noise. The classification technique is shown to distinguish two similar but different bolts given their one-dimensional profiles

A general procedure for the derivation of principal domains of higher-order spectra

A general procedure to determine the principal domain (i.e., nonredundant region of computation) of any higher-order spectrum is presented, using the bispectrum as an example. The procedure is then applied to derive the principal domain of the trispectrum of a real-valued, stationary time series. These results are easily extended to compute the principal domains of other higher-order spectra

Position, rotation, and scale invariant recognition of images using higher-order spectra

A new approach to recognition of images using invariant features based on higher-order spectra is presented. Higher-order spectra are translation invariant because translation produces linear phase shifts which cancel. Scale and amplification invariance are satisfied by the phase of the integral of a higher-order spectrum along a radial line in higher-order frequency space because the contour of integration maps onto itself and both the real and imaginary parts are affected equally by the transformation. Rotation invariance is introduced by deriving invariants from the Radon transform of the image and using the cyclic-shift invariance property of the discrete Fourier transform magnitude. Results on synthetic and actual images show isolated, compact clusters in feature space and high classification accuracies