Sublime: process and mediation

The Sublime: Process and Mediation expounds on the concept of a 'Material Sublime' as relevant to the development of artistic practice. The author maintains that the creative process is generative, highlighting the connection between nature, the body, and latent forms of knowledge as revealed through material interaction significant in the activity of painting.  She argues for a co-emergence maintaining the sublime experience traverses a liminal space wherein binary oppositions such as the distinction between mind and matter are negotiated.   

Craft groups: sites of friendship, empowerment, belonging and learning for older women

This article reports on a qualitative research project conducted in Victoria, Australia, with nine older women. The purpose of the research was to explore the women’s experience of involvement in craft groups, and specifically, the impact of this involvement on their sense of well-being. Traditionally the health of older people has been examined in relation to medical markers of physical well-being, and often, decline. We were interested to widen this perspective to understand the impact of social connection, belonging and ongoing learning and development on the ageing experience.

While the focus of the groups was on domestic craftwork, the process of coming together as a collective appeared to have significant bearing on the holistic health of the women involved. Consistent with feminist groupwork literature, the findings indicated that the women we interviewed experienced the group setting as affirming and generative in a number of ways. These include providing an avenue for mutual aid, addressing isolation, affirming individual and collective strength and wisdom, while acquiring new skills, and normalising concerns regarding health and family.

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes

A fundamental task in pervasive computing is reliable acquisition of contexts from sensor data. This is crucial to the operation of smart pervasive systems and services so that they might behave efficiently and appropriately upon a given context. Simple forms of context can often be extracted directly from raw data. Equally important, or more, is the hidden context and pattern buried inside the data, which is more challenging to discover. Most of existing approaches borrow methods and techniques from machine learning, dominantly employ parametric unsupervised learning and clustering techniques. Being parametric, a severe drawback of these methods is the requirement to specify the number of latent patterns in advance. In this paper, we explore the use of Bayesian nonparametric methods, a recent data modelling framework in machine learning, to infer latent patterns from sensor data acquired in a pervasive setting. Under this formalism, nonparametric prior distributions are used for data generative process, and thus, they allow the number of latent patterns to be learned automatically and grow with the data - as more data comes in, the model complexity can grow to explain new and unseen patterns. In particular, we make use of the hierarchical Dirichlet processes (HDP) to infer atomic activities and interaction patterns from honest signals collected from sociometric badges. We show how data from these sensors can be represented and learned with HDP. We illustrate insights into atomic patterns learned by the model and use them to achieve high-performance clustering. We also demonstrate the framework on the popular Reality Mining dataset, illustrating the ability of the model to automatically infer typical social groups in this dataset. Finally, our framework is generic and applicable to a much wider range of problems in pervasive computing where one needs to infer high-level, latent patterns and contexts from sensor data.

Transiting with the environment: an exploration of traveller’s reorientations as creative and collaborative practice

Travellers undertake a process of reorientation and realignment that is particular to each destination. This process intensifies when travelling long distances across borders, cultures and climates, as travellers utilise performative, embodied and creative methods that respond to each new environment. Certain destinations, such as those with unique and extreme natural environments, induce a socio-cultural imaginary that primes travellers for what kind of experience they might have. Large, immersive landscapes and climates congeal with expectations of what each destination requires in order to navigate through it. Common bearings of distance and scale are skewed, as travellers are positioned within areas of vastness. In these moments immersive experiences contrast with daily processes, such as the act of packing a bag, as this heightened sensory awareness exacerbates the subtle material and spatial negotiations. Utilising interviews and photographic documentation of travellers to Iceland and Nepal, this paper develops the proposal that certain destinations intensify our attunement to these moments of reorientation, facilitating situated and creative methods.

As recent developments in the fields of mobilities and tourism draws attention to material interactions during travel, and current ‘new materialism’ movements in theory and practice reveal alternative affective methods of engagement, an exploration of interactions with/in immersive sites is needed in order to evaluate the potential that these kinds of transitions offer everyday experiences of movement. Nigel Thrift’s proposition of Non-Representational Theory provides clarity on the ways in which spatial awareness influences such transitions and environmental experiences. Using his acknowledgement of a more ontologically driven responsiveness to space, this permits a shift away from the presupposed containment of spaces as isolated destinations, toward a relational spatiality that encompasses all actors – including environments – as vital elements in the generative processes of situating our movements.

Creative strategies that afford sensory, aesthetic and embodied performances provide ways to examine these experiences, providing a multitude of possibilities as individual experiences shift towards collective and collaborative performances, as we are immersed within a range of human and non-human actors. This paper explores the transition away from ‘consuming’ environments, and advocates for the need to turn towards a situated collaboration with environments, propelling an awareness of sustainable and creative travel practices. An understanding of affirmative differences is required within travel cultures, rather than expressing transitions as confined within the ‘home’ versus ‘away’ dichotomy that lingers from elite western travel narratives. In order to undertake the many movements required, this paper draws on the theoretical approaches of sustainable nomadism as described by Rosi Braidotti to highlight the linkages of environmental and bodily experiences.

Through multidisciplinary literature, interviews and personal reflections, this paper proposes that certain destinations amplify processes of alignment with the environment, developing affective, embodied and situated experiences that overcome the human/non-human divide.

Design with nature : a proposed model for coastal settlements in Australia adapting to climate change and extreme weather events

The Australian coast is rich in history and is scattered with coastal settlements amongst a contrasting landscape with infinite visual and ecological diversity. These attributes provide the opportunity to create sustainable and resilient settlements, linking the wholeness of a place to the foundation of living in harmony with nature. On the contrary the coastal regions of Australia are facing dynamic changes of population growth including the looming impact of a changing climate. Acknowledging these challenges, the Australian Government highlighted that one of the key requirements for a sustainable future is to establish sustainable settlements that are resilient against the impacts of climate change. Recent government studies and reports highlighted various possible impacts to the Australian coast and regional settlements due to sea level rise with associated coastal recession, extreme weather events, flooding, and prolonged heat waves. Various adaptation frameworks are proposed to deal with this issue, but very few consider the relationship between ecological systems and human built environments. The resilience planning of settlements must consider the co-evolution of human and nature under future climate effects. This paper is thus seeking answers to the question: How can the theoretical principles of Design with Nature (McHarg, 1967) and The Nature of Order (Alexander, 1980) provide for input to a adaptation model for settlements along the coast? Reflecting on a literature review of these two well established theories, the author select key principles from both as input to a ecological design based adaptation model for coastal settlements, which establishes a system of unfolding steps to create sustainable communities that connect with the landscape, and are resilient against future impacts of change.

Landscapes in transition : local perceptions of indigenous and European settlement changes along the Victorian coast

Around the world coastal areas are witnessing dramatic changes due to the consequences of the growth of human settlements. Rapid urban expansion in coastal settlements due to ‘life style migration’ impacts negatively on environmental coastal amenities that are the driving factor behind the attraction of these areas. The Victorian Coast in Australia is under stress, with the growth pattern of coastal settlements in a sprawling linear fashion resulting in devastating effects on the natural coastal environment, biodiversity and the loss of cultural heritage. The Victorian coast is rich in history, and the coastal towns are often described in literature as places with ‘sense of place’, or referred to as place character. This place character has been formed over many years with the interaction between social histories and natural environments woven together across time. This paper reviews the transition of the landscapes along the Great Ocean Road coastal region, and ask the question how can a potential Generative Plan be developed to establish a process to keep the place character of coastal towns. The proposed plan considers the interrelationships of nature and people as fundamental to forming place character, from the time of Indigenous habitation before European settlement, to the current day of rapid increased developments scattered along this coast.

Towards an emergent view of learning work

The purpose of this paper is to challenge models of workplace learning that seek to isolate or manipulate a limited set of features to increase the probability of learning. Such models typically attribute learning (or its absence) to individual engagement, manager expectations or organizational affordances and are therefore at least implicitly causative. In contrast, we discuss the contributions of complexity theory principles such as emergence and novelty that suggest that learning work is more a creative and opportunistic process that emerges from contextualized interactional understandings among actors. Using qualitative case study methods, we discuss the experiences of workers in two organizations asked to ‘act up’ in their managers’ role to ensure work continuity. We believe the differences in how workers take up these opportunities result from a complex combination of situational factors that generate invitational patterns signalled from and by various understandings and interactions among actors doing collective work. Rather than a deficit view of learning that needs fixing, an emergent model of learning work suggests that learning develops as a collective generative endeavour from changing patterns of interactional understandings with others. This re‐positioning recognizes that although invitational qualities cannot be deterministically predicted, paying attention to the patterns of cues and signals created from actors interacting together can condition ways of understandings to expand what is possible when work practices also become learning practices.

Bayesian nonparametric extraction of hidden contexts from pervasive honest signals

Hidden patterns and contexts play an important part in intelligent pervasive systems. Most of the existing works have focused on simple forms of contexts derived directly from raw signals. High-level constructs and patterns have been largely neglected or remained under-explored in pervasive computing, mainly due to the growing complexity over time and the lack of efficient principal methods to extract them. Traditional parametric modeling approaches from machine learning find it difficult to discover new, unseen patterns and contexts arising from continuous growth of data streams due to its practice of training-then-prediction paradigm. In this work, we propose to apply Bayesian nonparametric models as a systematic and rigorous paradigm to continuously learn hidden patterns and contexts from raw social signals to provide basic building blocks for context-aware applications. Bayesian nonparametric models allow the model complexity to grow with data, fitting naturally to several problems encountered in pervasive computing. Under this framework, we use nonparametric prior distributions to model the data generative process, which helps towards learning the number of latent patterns automatically, adapting to changes in data and discovering never-seen-before patterns, contexts and activities. The proposed methods are agnostic to data types, however our work shall demonstrate to two types of signals: accelerometer activity data and Bluetooth proximal data. © 2014 IEEE.

Giving solidity to pure wind: temporising as transformation

Jared Diamond asked the acclaimed evolutionary biologist Ernst Mayr (1904-2005) why Aristotle didn’t come up with the theory of evolution. Mayr’s answer was ‘Frage stellen’ which Diamond translates as ‘a way of asking questions [sic]’ (Byrne 2013). The idea that a particular way-of-asking might generate a particular way-of-knowing and, indeed, a particular branch-of-knowledge, is utterly intriguing, especially when we frame the practice of creative writing in those terms: as a way of asking questions.Drusilla Modjeska unpacks the concept of ‘temporising’ in her article ‘Writing Poppy’ (Modjeska 2002: 75). This discussion invites us to consider the generative capabilities of the temporising space – as an imaginative space for writers, as an alternate way of asking questions … of seeing, being, knowing. In narrative, the questions that underpin the work do not necessarily appear in the surface-content of the text. In this way, the story is a metaphorical representation of the questions that lie beneath. As Aristotle suggests, metaphor relies on ‘an intuitive perception of the similarity [to homoion theorein] in dissimilars’ (Ricoeur 1977: 23). In narrative we contemplate a question, or an idea, within the context of a metaphorical other. This is a form of temporising: of ‘slip[ping] into other time frames’ as a means of ‘retreat[ing] and consider[ing]’ (Modjeska 2002: 75, 76). In narrative time, we consider one thing through an alternate temporal lens. We prevaricate in otherness.Fiction-making represents a very particular way of asking questions. With reference to the process of writing the short story – ‘Everything that matters is silvery white’ – it is clear that ‘making’ narrative is a way of asking questions that is assisted by the transformative temporising space.

Everything that matters is silvery white

When Jared Diamond asked acclaimed evolutionary biologist Ernst Mayr why Aristotle didn’t come up with the theory of evolution, Mays answered frage stellen or ‘a way of asking questions’ (ABC 2013). The idea that a particular way-of-asking might generate a particular way-of-knowing is applicable to the practice of creative writing. Modjeska unpacks the concept of ‘temporising’ (2002: 75), inviting us to consider the generative possibilities of the temporising space – as an imaginative space for writers – a way of asking questions.Research contributionThis work enacts the concept of temporising at the level of form and content, interrogating the connection between language and imagery, and the work of association and similarity and, following Aristotle, recognises the temporising space as a metaphorical playground. This method of asking questions involves alogical processes of association: supporting Freud’s ‘reciprocal relations’ between dissimilars (1900: 404) and Froeschels’ observation that ‘the subconscious [mind] considers similarity identical with identity’ (qtd. in Mavromatis 1987: 178).Research significanceThis work uses Modjeska’s analysis, and theories of subconscious processes of association, to enact an inquiry in the performative narrative space of the short story. It has been longlisted for the Australian Book Review’s Elizabeth Jolley Prize (2014) and the Séan Ó Faoláin International Short Story Competition (Ireland) (2015), and was also a finalist in the Glimmer Train International Fiction Open Contest (USA) (2015).

Structured representation learning from complex data

This thesis advances several theoretical and practical aspects of the recently introduced restricted Boltzmann machine - a powerful probabilistic and generative framework for modelling data and learning representations. The contributions of this study represent a systematic and common theme in learning structured representations from complex data.

Cross-curriculum design: enacting inclusive pedagogy and curriculum

The chapter is a practise led example of how the inclusive pedagogical approach in action (IPAA) framework lives as evidence of inclusive pedagogy. In particular it draws on understandings of cross-curriculum design as an approach that supports teaching practises for all children. Some readers may be familiar with the language of curriculum differentiation. Commonalties may be seen in the approaches that advocate for curriculum differentiation and cross-curriculum design, however not a lot is gained by adding another language game or rule of curriculum talk which asserts the power of difference by applying the language of differentiation as the focus for inclusive pedagogical action. As the IPAA framework stresses, teachers must believe that they are qualified and capable of teaching all children. Teachers who are engaged in the IPAA in action continually develop creative new ways of working and their professional stance is one where they are willing to work with others (including all of their students) to continually enhance their professional learning through practise orientations. Hence, in this chapter, both the theoretical underpinnings of effective teaching associated with the cross-curriculum design are assumed to have a potential link to any one of the other curricular areas specified in this book. Cross-curriculum design inherently foregrounds inclusive pedagogical possibilities and a concern for knowing more about curriculum theorising and reimaging classroom practice for all students, that is engaging in generative and productive pedagogical work.

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach

Learning preference models from human generated data is an important task in modern information processing systems. Its popular setting consists of simple input ratings, assigned with numerical values to indicate their relevancy with respect to a specific query. Since ratings are often specified within a small range, several objects may have the same ratings, thus creating ties among objects for a given query. Dealing with this phenomena presents a general problem of modelling preferences in the presence of ties and being query-specific. To this end, we present in this paper a novel approach by constructing probabilistic models directly on the collection of objects exploiting the combinatorial structure induced by the ties among them. The proposed probabilistic setting allows exploration of a super-exponential combinatorial state-space with unknown numbers of partitions and unknown order among them. Learning and inference in such a large state-space are challenging, and yet we present in this paper efficient algorithms to perform these tasks. Our approach exploits discrete choice theory, imposing generative process such that the finite set of objects is partitioned into subsets in a stagewise procedure, and thus reducing the state-space at each stage significantly. Efficient Markov chain Monte Carlo algorithms are then presented for the proposed models. We demonstrate that the model can potentially be trained in a large-scale setting of hundreds of thousands objects using an ordinary computer. In fact, in some special cases with appropriate model specification, our models can be learned in linear time. We evaluate the models on two application areas: (i) document ranking with the data from the Yahoo! challenge and (ii) collaborative filtering with movie data. We demonstrate that the models are competitive against state-of-the-arts.

Literatura infantil : uma abordagem das qualidades sensíveis e inteligíveis da leitura imagética na escola

Esta dissertação discute a leitura de textos imagéticos a partir da perspectiva da educação e da semiótica visual, tratando das articulações e relações entre os elementos constitutivos da imagem em livros de literatura infantil sem texto verbal. A investigação busca revelar, na complexidade das relações existentes entre elementos estruturantes das imagens nos livros O caminho do caracol e Cena de rua, o sentido que se inscreve no texto e a possibilidade da sua leitura no meio escolar. As obras literárias para a infância veiculam a linguagem visual em junção com a verbal e propiciam experiências sensíveis e inteligíveis. A partir da teoria semiótica greimasiana, aplicando instrumentos de análise do percurso gerativo de sentido, a pesquisa demonstra que o texto imagético é estruturado por diferentes níveis de complexidade, impondo um modo de ler específico. A identificação, descrição, classificação, bem como as relações entre as categorias, nas suas dimensões cromática, eidética e topológica, levam à constatação que as qualidades plásticas da imagem organizam sistemas de linguagem, reunindo solidariamente o plano da expressão e do conteúdo, criam estruturas e geram efeitos de sentido. A imagem, então, constitui-se como objeto de significação e a ilustração presente no livro de literatura infantil, ao ser tratada como texto lisível, torna-se objeto de leitura. A complexidade desse tipo de texto aponta a necessidade da formação específica de professores para explorar a leitura escolar das linguagens visuais.

A linguagem de Oscar Niemeyer

Este trabalho tem como objetivo a descrição dos elementos que caracterizam a singularidade da linguagem arquitetônica de Oscar Niemeyer. Argumenta que a identificação de tais elementos passa pelo escrutínio de aspectos não visíveis da obra do arquiteto. A identificação foi possível a partir da análise de edifícios caracterizados pelo perfil curvilíneo e da construção de um modelo que associa os elementos compositivos utilizados por Niemeyer a uma Gramática de Formas. A utilização do modelo possibilitou revelar os princípios generativos - conjunto de regras, vocabulário e relações geométricas – que caracterizam o estilo – ou linguagem arquitetônica de Niemeyer. Ajudou ainda a demonstrar como a linguagem de Niemeyer associa de forma original, operações de transformação como rotação, reflexão, e translação a um vocabulário de curvas. A associação é parametrizada segundo um traçado regulador baseado na seção áurea. Em suas conclusões o trabalho sugere possibilidades de desenvolvimento desta gramática para todas as figuras utilizadas por Niemeyer e a aplicação de princípios generativos no ensino de arquitetura.