Beyond caricature : exploring theories of educational policy production and implementation

Since the mid 1980s there has been a growing interest amongst sociologists in the study of education policy, which has coincided with a decline within the tradition of educational administration - having been subsumed by educational management - of 'detailed historical work, or work concerned primarily with politics or policy content' (Olga 1987. p. 138). While in the past other traditions associated with social policy and social administration, government and politics. and the history of education have also been concerned with education policy. most recent and substantive work (for example. Olga 1987 1990. Dale 1989, 1992, Dale & Olga 1991, 1993. Ball 1990, 1993, Bowe, et al. 1992. Lingard 1991,1993)has come "from within the sociology of education. especially from those working within, or influenced by, the 'new' sociology of education, and, especially, those of a Marxist or neo-Marxist persuasion or at least concerned with the relationship of the state to education as a central problem (Olga 1987. p.139)".

Targeting and measuring housing problems in developing countries through urban texture analysis

Latin-american countries passed from predominantely rural to predominantely urban within few decades. The level of urbanisation in Brazil progressed from 36% in 1950, 50% in 1970, and scalating to 85% in 2005. This rapid transformation resulted in many social problems, as cities were not able to provide appropriate housing and infrastructure for the growing population. As a response, the Brazilian Ministry for Cities, in 2005, created the National System for Social Housing, with the goal to establish guidelines in the Federal level, and build capacity and fund social housing projects in the State and Local levels. This paper presents a research developed in Gramado city, Brazil, as part of the Local Social Housing Plan process, with the goal to produce innovative tools to help social housing planning and management. It proposes and test a methodology to locate and characterise/rank housing defficiencies across the city combining GIS and fractal geometry analysis. Fractal measurements, such as fractal dimension and lacunarity, are able to differentiate urban morphology, and integrated to infrastructure and socio-economical spatial indicators, they can be used to estimate housing problems and help to target, classify and schedule actions to improve housing in cities and regions. Gramado city was divided in a grid with 1,000 cells. For each cell, the following indicators were measured: average income of households, % of roads length which are paved (as a proxy for availability of infrastructures as water and sewage), fractal dimension and lacunarity of the dwellings spatial distribution. A statistical model combining those measurements was produced using a sample of 10% of the cells divided in five housing standards (from high income/low density dwellings to slum's dwellings). The estimation of the location and level of social housing deficiencies in the whole region using the model, compared to the real situation, achived high correlations. Simple and based on easily accessible and inexpensive data, the method also helped to overcome limitations of lack of information and fragmented knowledge of the area related to housing conditions by local professionals.

The water harvesting landscape of Budj Bim and Lake Condah : whither world heritage recognition

In July 2004 the Budj Bim National Heritage Landscape was inscribed onto the National Heritage List. The place accorded with the criterion of A. Events, Processes (in demonstrating a place of Indigenous-European colonization conflict), B. Rarity (in demonstrating the context, historical and philosophy of benevolence of Governments to Indigenous people), F. Creative or technical achievement (in demonstrating technical accomplishment in construction the system), and, I. Indigenous tradition (in demonstrating longevity and continuity of cultural practices). Such affords Budj Bim, that hosts a unique Indigenous water harvesting and aquaculture infrastructure system dating some 7,000-10,000 years within a country that the Gunditjmara have managed for some 20,000-50,000 years, national standing. Within the lands gazetted is a complex and multi-faceted system that would today be categorised as a major integrated landscape planning and catchment management scheme that includes demonstrable major site engineering, hydraulic engineering, and aquaculture and water management scientific evidence and process knowledge and application.

Semantic trajectory based event detection and event pattern mining

Video event detection is an effective way to automatically understand the semantic content of the video. However, due to the mismatch between low-level visual features and high-level semantics, the research of video event detection encounters a number of challenges, such as how to extract the suitable information from video, how to represent the event, how to build up reasoning mechanism to infer the event according to video information. In this paper, we propose a novel event detection method. The method detects the video event based on the semantic trajectory, which is a high-level semantic description of the moving object’s trajectory in the video. The proposed method consists of three phases to transform low-level visual features to middle-level raw trajectory information and then to high-level semantic trajectory information. Event reasoning is then carried out with the assistance of semantic trajectory information and background knowledge. Additionally, to release the users’ burden in manual event definition, a method is further proposed to automatically discover the event-related semantic trajectory pattern from the sample semantic trajectories. Furthermore, in order to effectively use the discovered semantic trajectory patterns, the associative classification-based event detection framework is adopted to discover the possibly occurred event. Empirical studies show our methods can effectively and efficiently detect video events.

Nonnegative shared subspace learning and its application to social media retrieval

Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can seriously affect the precision of a social tag-based web retrieval system. Therefore improving the precision performance of these social tag-based web retrieval systems has become an increasingly important research topic. To this end, we propose a shared subspace learning framework to leverage a secondary source to improve retrieval performance from a primary dataset. This is achieved by learning a shared subspace between the two sources under a joint Nonnegative Matrix Factorization in which the level of subspace sharing can be explicitly controlled. We derive an efficient algorithm for learning the factorization, analyze its complexity, and provide proof of convergence. We validate the framework on image and video retrieval tasks in which tags from the LabelMe dataset are used to improve image retrieval performance from a Flickr dataset and video retrieval performance from a YouTube dataset. This has implications for how to exploit and transfer knowledge from readily available auxiliary tagging resources to improve another social web retrieval system. Our shared subspace learning framework is applicable to a range of problems where one needs to exploit the strengths existing among multiple and heterogeneous datasets.

On the automated interpretation and indexing of American football

This work combines natural language understanding and image processing with incremental learning to develop a system that can automatically interpret and index American Football. We have developed a model for representing spatio-temporal characteristics of multiple objects in dynamic scenes in this domain. Our representation combines expert knowledge, domain knowledge, spatial knowledge and temporal knowledge. We also present an incremental learning algorithm to improve the knowledge base as well as to keep previously developed concepts consistent with new data. The advantages of the incremental learning algorithm are that is that it does not split concepts and it generates a compact conceptual hierarchy which does not store instances.

Human saccadic eye movements and tracking by active foveation in log polar space

One of the possible models of the human visual system (HVS) in the computer vision literature has a high resolution fovea and exponentially decreasing resolution periphery. The high resolution fovea is used to extract necessary information in order to solve a vision task and the periphery may be used to detect motion. To obtain the desired information, the fovea is guided by the contents of the scene and other knowledge to position the fovea over areas of interest. These eye movements are called saccades and corrective saccades. A two stage process has been implemented as a mechanism for changing foveation in log polar space. Initially, the open loop stage roughly foveates on the best interest feature and then the closed loop stage is invoked to accurately iteratively converge onto the foveation point. The open loop stage developed for the foveation algorithm is applied to saccadic eye movements and a tracking system. Log polar space is preferred over Cartesian space as: (1) it simultaneously provides high resolution and a wide viewing angle; and (2) feature invariance occurs in the fovea which simplifies the foveation process.

A Bayesian framework for learning shared and individual subspaces from multiple data sources

This paper presents a novel Bayesian formulation to exploit shared structures across multiple data sources, constructing foundations for effective mining and retrieval across disparate domains. We jointly analyze diverse data sources using a unifying piece of metadata (textual tags). We propose a method based on Bayesian Probabilistic Matrix Factorization (BPMF) which is able to explicitly model the partial knowledge common to the datasets using shared subspaces and the knowledge specific to each dataset using individual subspaces. For the proposed model, we derive an efficient algorithm for learning the joint factorization based on Gibbs sampling. The effectiveness of the model is demonstrated by social media retrieval tasks across single and multiple media. The proposed solution is applicable to a wider context, providing a formal framework suitable for exploiting individual as well as mutual knowledge present across heterogeneous data sources of many kinds.

Learning from arid planning and design history and practice : from Woomera to creating the new Roxby Downs communities

The principles and knowledge about arid planning and design have much applicability to contemporary Australian planning discourses because of climate change evidence and policy shifts that sketch a hotter and more unreliable future climate with an emphasis upon a semi-arid environment for Australia. Despite this merit and intent, we appear to have learnt little from the past and are failing to draw upon the pioneering planning and design knowledge that underpinned community development and scaffolding in numerous Australian arid and semi-arid communities, and to bring this knowledge into our future planning processes and strategies.

This paper considers the essential attributes and variables of three Australian arid planning and design, drawing upon historical practice and research that have been explored in the planning of semi-arid and arid places including Port Pirie, Whyalla, Monarto, Broken Hill, Port Augusta, Leigh Creek, Andamooka, Olympic Dam Village and Roxby Downs. It specifically reviews Woomera Village (1940s) Shay Gap (1970s) and the proposed extensions to Roxby Downs (2010s) as models of how to better plan and design communities in arid environments. Instrumental in these innovations is the use of landscape-responsive urban design strategies, water harvesting and irregular rainfall capture, arid horticulture, building design, colour and materiality, orientation and shading strategies, and social community construction under difficult isolationist circumstances. The paper points to key strategies that need to be incorporated in future climate change responsive community developments and policy making.

Towards an improved understanding of knowledge dynamics in integrated coastal zone management: a knowledge systems framework

Integrated coastal zone management (ICZM) is a complex undertaking that draws on a range of biophysical and social science disciplines, and involves a wide range of stakeholders operating through multiple processes, and crossing various levels  Conceptually, this means that ICZM represents a significant challenge in terms of improving the way in which different disciplinary ‘knowledges’ and different forms of knowledge (scientific, managerial, lay, and indigenous) inform decision making. Depending upon the circumstances, ICZM may be constrained by different knowledge deficits, including: uncertainty; science - policy gaps; and the ‘filtering’ of particular forms of knowledge relative to others. As a means for making sense of these knowledge dynamics, this paper considers the concept of knowledge systems and its potential for improving understanding of coastal management processes. The potential insights that can be gained from four analytical approaches (stakeholder, institutional, network, and discourse analysis) are then discussed, and used to develop an analytical framework for investigating coastal knowledge dynamics, which is based upon a generic coastal knowledge system and associated research questions. Finally, the utility of this framework is illustrated using a case study that examines the knowledge dynamics associated with debates about the establishment of marine protected areas in Victoria, Australia.

Rule learning and extraction using a hybrid neural network : a case study on fault detection and diagnosis

A hybrid network, based on the integration of Fuzzy ARTMAP (FAM) and the Rectangular Basis Function Network (RecBFN), is proposed for rule learning and extraction problems. The underlying idea for such integration is that FAM operates as a classifier to cluster data samples based on similarity, while the RecBFN acts as a “compressor” to extract and refine knowledge learned by the trained FAM network. The hybrid network is capable of classifying data samples incrementally as well as of acquiring rules directly from data samples for explaining its predictions. To evaluate the effectiveness of the hybrid network, it is applied to a fault detection and diagnosis task by using a set of real sensor data collected from a Circulating Water (CW) system in a power generation plant. The rules extracted from the network are analyzed and discussed, and are found to be in agreement with experts’ opinions used in maintaining the CW system.

A/r/tography and place ontology

Through lived experience, I learn how my education, life habits, changing abodes, and different career trajectories are intertwined with my identity and place. A/r/tography is a way of exploring these interconnections through reflexive practice as a visual artist, creative arts therapist, art educator, and researcher. Knowledge emerges from contemplating my artistic practice, my art education, the drawings of clients who participate in my creative art therapy sessions, and the work of students who attend my art classes, from which I contemplate early art images as shapes or figurative forms floating on the page. This paper asserts that creative art therapists are able to use the creative-artistic processes of living inquiry found in a/r/tography to make connections between identity and place.

Public relations, activism, and social change: speaking up

Why are some voices louder in public debates than others? And why can’t all voices be equally heard? This book draws significant new meaning to the inter-relationships of public relations and social change through a number of activist case studies, and rebuilds knowledge around alternative communicative practices that are ethical, sustainable, and effective. Demetrious offers a powerful critical description of the dominant model of public relations used in the twentieth century, showing that ‘PR’ was arrogant, unethical and politically offensive in ways that have severely weakened democratic process and its public standing and professional credibility. The book argues that change within the field of public relations is imminent and urgent—for us all. As the effects of climate change intensify, and are magnified by high carbon dioxide emitting industries, vigorous public debate is vital in the exploration of new ideas and action and if alternative futures are to be imagined. In these conditions, articulate and persistent publics will appear in the form of grassroots activists, asking contentious questions about risks and tabling them for public discussion in bold, inventive, and effective ways. Yet the entrenched power relations in and through public relations in contemporary industrialized society provide no certainty these voices will be heard. Following this path, Demetrious theorises an alternative set of social relations to those used in the twentieth century: public communication. Constructed from communicative practices of grassroots activists and synthesis of diverse theoretical positions, public communication is a principled approach that avoids the deep contradictions and flawed coherences of essentialist public relations and instead represents an important ethical reorientation in the communicative fields. Lastly, she brings original new perspectives to understand current and emergent developments in activism and public relations brought about through the proliferation of Internet and digital cultures.

Cultural regionalism and environmental planning and design : charting regionalism in deference to globalism

The last 400 years has witnessed Western colonialism spread across the Asian communities and landscape transforming and re-defining their identity, culture, landscape patterns and meanings, as well as their land ethic. Whilst independence has brought forth robust attempts at nationalism it has been at the deference of regionalism and cultural identity. Instead, modernism, economic regeneration and growth, and attempts to define a nationalist image out of the newly created nations that are often a patchwork quilt of pre-colonial empires, are signalling the demise of critical regionalism and Indigenous knowledge systems. This paper considers the changes and cultural transformations over the last 400 years pointing to key dilemmas in regionalist growth, deterioration and stabilisation that are causing a loss of environmental and cultural values, morals and codes. These are the cultural and planning ‘rules’ that originally structured and guided the sustainable life and spirit of community, land and culture as an integrated whole. Particular attention will be drawn to the Indigenous communities of Malaysia, Indonesia and Australia that are struggling to maintain identity and environmental ethic in the shadow of major disjointed and multi-objectival national and international economic growth and digital transformation advances. Several possible answers or mediated strategies are offered, through a cultural heritage and planning lens, that could afford a respect and creative integration of these Indigenous knowledge systems to better inform regional growth and land management strategies so that it was regionally relevant.

Towards a diversity justice management model : integrating organizational justice and diversity management

Purpose – Contemporary organizations are increasingly paying attention to incorporate diversity management practices into their systems in order to promote socially responsible actions and equitable employment outcomes for minority groups. The aim of this paper is to seek to address a major oversight in diversity management literature, the integration of organizational justice principles.

Design/methodology/approach – Drawing upon the existing literature on workforce diversity and organizational justice, the authors develop a model based on normative principles of organizational justice for justice-based diversity management processes and outcomes.

Findings – The paper proposes that effective diversity management results from a decision-making process that meets the normative principles of organizational justice (i.e. interactional, procedural and distributive justice). The diversity justice management model introduced in this article provides important theoretical and practical implications for establishing more moral and just workplaces.

Research limitations/implications – The authors have not tested the conceptual framework of the diversity justice management model, and recommend future research to take up the challenge. The payoff for doing so is to enable the establishment of socially responsible workplaces where individuals, regardless of their background, are given an equal opportunity to flourish in their assigned jobs.

Practical implications – The diversity justice management model introduced in this paper provides organizational justice (OJ)-based guidelines for managers to ensure that OJ can be objectively benchmarked and discussed amongst diversity stakeholders to continuously improve actual and perceived OJ outcomes.

Social implications – The social implication of this conceptual paper is reduction of workforce marginalization and establishment of socially responsible organizations whereby those marginalized (e.g. people with disabilities) can effectively work in their organizations.

Originality/value – This is the first attempt to establish a diveristy justice management model, which incorporates normative principles of organizational justice into diversity management processes and outcomes.