196 research outputs found

    Aboriginal and non-aboriginal Australia : the dilemma of apologies, forgiveness, and reconciliation

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    This article presents a qualitative study of the indigenous Australian perspective on reconciliation with nonindigenous Australia, with a focus on the role of an apology for the oppression and violence perpetrated by nonindigenous Australians, and forgiveness on the part of indigenous Australians. A brief historical analysis of the relationship between Aborigines and waves of settlers is presented to demonstrate the extent of the wrong that was perpetrated against Aborigines and the need for social as well as practical reconciliation in the current context. It is argued that negotiated forgiveness is a concept that is pertinent to the discussion of reconciliation, because it requires a dialogue between the parties and ultimately for the wrongdoer to accept accountability and responsibility for offending actions, thereby opening the door for forgiveness and, ultimately, possible reconciliation. It is suggested that a first step in the required reconciliation dialogue is an apology, but the issue of who should give and receive an apology is a complex one. The issue of who should forgive and who should be forgiven is shown to be similarly complex. Qualitative analysis of interview data from 10 participants indicated that at this point in time, forgiveness might not be salient to the indigenous population, whose primary focus is more on the matter of an apology. This suggests that negotiated forgiveness and reconciliation will remain elusive goals until the matter of an apology is resolved.<br /

    The neurological underpinnings of cluttering: Some initial findings

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    Background Cluttering is a fluency disorder characterised by overly rapid or jerky speech patterns that compromise intelligibility. The neural correlates of cluttering are unknown but theoretical accounts implicate the basal ganglia and medial prefrontal cortex. Dysfunction in these brain areas would be consistent with difficulties in selection and control of speech motor programs that are characteristic of speech disfluencies in cluttering. There is a surprising lack of investigation into this disorder using modern imaging techniques. Here, we used functional MRI to investigate the neural correlates of cluttering. Method We scanned 17 adults who clutter and 17 normally fluent control speakers matched for age and sex. Brain activity was recorded using sparse-sampling functional MRI while participants viewed scenes and either (i) produced overt speech describing the scene or (ii) read out loud a sentence provided that described the scene. Speech was recorded and analysed off line. Differences in brain activity for each condition compared to a silent resting baseline and between conditions were analysed for each group separately (cluster-forming threshold Z > 3.1, extent p 30 voxels, uncorrected). Results In both conditions, the patterns of activation in adults who clutter and control speakers were strikingly similar, particularly at the cortical level. Direct group comparisons revealed greater activity in adults who clutter compared to control speakers in the lateral premotor cortex bilaterally and, as predicted, on the medial surface (pre-supplementary motor area). Subcortically, adults who clutter showed greater activity than control speakers in the basal ganglia. Specifically, the caudate nucleus and putamen were overactive in adults who clutter for the comparison of picture description with sentence reading. In addition, adults who clutter had reduced activity relative to control speakers in the lateral anterior cerebellum bilaterally. Eleven of the 17 adults who clutter also stuttered. This comorbid diagnosis of stuttering was found to contribute to the abnormal overactivity seen in the group of adults who clutter in the right ventral premotor cortex and right anterior cingulate cortex. In the remaining areas of abnormal activity seen in adults who clutter compared to controls, the subgroup who clutter and stutter did not differ from the subgroup who clutter but do not stutter. Conclusions Our findings were in good agreement with theoretical predictions regarding the neural correlates of cluttering. We found evidence for abnormal function in the basal ganglia and their cortical output target, the medial prefrontal cortex. The findings are discussed in relation to models of cluttering that point to problems with motor control of speech

    Creating a non-word list to match 226 of the Snodgrass standardised picture set

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    Creating non-word lists is a necessary but time consuming exercise often needed when conducting behavioural language tasks involving lexical decision-making or non-word reading. The following article describes the process whereby we created a list of 226 non-words matching 226 of the Snodgrass picture set (Snodgrass & Vanderwart, 1980).The non-words were matched for number of syllables, stress pattern, number of phonemes, bigram count and presence and location of the target sound when relevant

    Using pivots to explore heterogeneous collections: A case study in musicology

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    In order to provide a better e-research environment for musicologists, the musicSpace project has partnered with musicology’s leading data publishers, aggregated and enriched their data, and developed a richly featured exploratory search interface to access the combined dataset. There have been several significant challenges to developing this service, and intensive collaboration between musicologists (the domain experts) and computer scientists (who developed the enabling technologies) was required. One challenge was the actual aggregation of the data itself, as this was supplied adhering to a wide variety of different schemas and vocabularies. Although the domain experts expended much time and effort in analysing commonalities in the data, as data sources of increasing complexity were added earlier decisions regarding the design of the aggregated schema, particularly decisions made with reference to simpler data sources, were often revisited to take account of unanticipated metadata types. Additionally, in many domains a single source may be considered to be definitive for certain types of information. In musicology, this is essentially the case with the “works lists” of composers’ musical compositions given in Grove Music Online (http://www.oxfordmusiconline.com/public/book/omo_gmo), and so for musicSpace, we have mapped all sources to the works lists from Grove for the purposes of exploration, specifically to exploit the accuracy of its metadata in respect to dates of publication, catalogue numbers, and so on. Therefore, rather than mapping all fields from Grove to a central model, it would be far quicker (in terms of development time) to create a system to “pull-in” data from other sources that are mapped directly to the Grove works lists

    Integrating musicology's heterogeneous data sources for better exploration

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    Musicologists have to consult an extraordinarily heterogeneous body of primary and secondary sources during all stages of their research. Many of these sources are now available online, but the historical dispersal of material across libraries and archives has now been replaced by segregation of data and metadata into a plethora of online repositories. This segregation hinders the intelligent manipulation of metadata, and means that extracting large tranches of basic factual information or running multi-part search queries is still enormously and needlessly time consuming. To counter this barrier to research, the “musicSpace” project is experimenting with integrating access to many of musicology’s leading data sources via a modern faceted browsing interface that utilises Semantic Web and Web2.0 technologies such as RDF and AJAX. This will make previously intractable search queries tractable, enable musicologists to use their time more efficiently, and aid the discovery of potentially significant information that users did not think to look for. This paper outlines our work to date

    Anthropogenic contributions to Australia's record summer temperatures of 2013

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    Anthropogenic contributions to the record hot 2013 Australian summer are investigated using a suite of climate model experiments. This was the hottest Australian summer in the observational record. Australian area-average summer temperatures for simulations with natural forcings only were compared to simulations with anthropogenic and natural forcings for the period 1976-2005 and the RCP8.5 high emission simulation (2006-2020) from nine Coupled Model Intercomparison Project phase 5 models. Using fraction of attributable risk to compare the likelihood of extreme Australian summer temperatures between the experiments, it was very likely (>90% confidence) there was at least a 2.5 times increase in the odds of extreme heat due to human influences using simulations to 2005, and a fivefold increase in this risk using simulations for 2006-2020. The human contribution to the increased odds of Australian summer extremes like 2013 was substantial, while natural climate variations alone, including El Niño Southern Oscillation, are unlikely to explain the record temperature. © 2013. American Geophysical Union. All Rights Reserved

    musicSpace: integrating musicology's heterogeneous data sources

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    A significant barrier to the research endeavours of musicologists (and humanities scholars more generally) is the sheer amount of potentially relevant information that has accumulated over centuries. Whereas researchers once faced the daunting prospect of physically scouring through endless primary and secondary sources in order to answer the basic whats, wheres and whens of history, these sources and the data they contain are now increasingly available online. Yet the vast increase in the online availability of data, the heterogeneity of this data, the plethora of data providers, and, moreover, the inability of current search tools to manipulate metadata in useful and intelligent ways, means that extracting large tranches of basic factual information or running multi-part search queries is still enormously and needlessly time consuming. Accordingly, the musicSpace project is exploiting Semantic Web technologies (Berners-Lee et al., 2001) to develop a search interface that integrates access to musicology’s largest and most significant online resources. This will make previously intractable search queries tractable, thus allowing our users to spend their research time more efficiently and ultimately aiding the attainment of new knowledge. This brief paper gives an overview of our work

    Orchestrating musical (meta)data to better address the real-world search queries of musicologists

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    The dispersal of musicology’s diverse array of primary and secondary sources across countless libraries and archives was once an enormous obstacle to conducting research, but this has largely been overcome by the digitisation and online publication of resources in recent years. Yet, while the research process has undoubtedly been revolutionised, the current situation is far from perfect, as the digitisation of resources has often been accompanied by their segregation—according to media type, date of publication, subject, language, copyright holder, etc.—into a myriad of discrete online repositories, often with little thought having been given to interoperability. Given that musicological research typically cuts across such artificial divisions, this segregation of data means that accessing basic factual information or running multi-part search queries remains endlessly complicated, needlessly time consuming, and sometimes impossible. This barrier to tractability is only exacerbated by the limited capabilities of currently deployed search interfaces. There is one seemingly obvious solution to this query dilemma: enable integrated real-time querying over all the available metadata from as many sources as possible, and allow users to use that metadata to guide their queries. This solution implies that all data that could feasibly be construed as useful, but which is buried in the records, is extracted in some way, and that there is an interaction approach that enables metadata to be explored effectively and allows for the formulation of rich compound queries. The musicSpace project has taken a dual approach towards realising this solution. At the back-end we are developing services to integrate and, where necessary, surface (meta)data from many of musicology’s most important online resources, including the British Library Music Collections catalogue, the British Library Sound Archive catalogue, Cecilia, Copac, Grove Music Online, Naxos Music Library, Répertoire International de Littérature Musicale (RILM), and Répertoire International des Sources Musicale (RISM) UK and Ireland. While at the front-end, in order to optimise the exploration of this integrated dataset, we are developing a modern web-based faceted browsing interface that utilises Semantic Web and Web2.0 technologies such as RDF and AJAX, and which is based on the existing ‘mSpace’ codebase. Our poster outlines the approach we have taken to importing, enriching and integrating the metadata provided by our data partners, and gives examples of the real-world musicological research questions that musicSpace has enabled

    Discovery and exploration using musicSpace

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    Musicologists have to rely upon an extraordinarily heterogeneous body of primary and secondary research sources, even when conducting the most basic exploratory research. Although increasingly available online, data is nevertheless routinely catalogued or stored in numerous discrete databases according to media type (text, image, video, audio) and historical period (contemporary literature/sources, historical literature/sources), yet most musicological research cuts across these artificial divisions; researching Monteverdi’s madrigals, for example, could involve performing essentially the same search several times, because there are several relevant data sources (RISM, Grove, Naxos, RILM, BL Integrated Catalogue and BL Sound Archive). The musicSpace project seeks to integrate access to musicological data sources by providing a single search interface, thereby removing the need for search repetition and reducing inefficiency. The vast increase in on-hand data that comes with database integration both demands and allows for the development of far more sophisticated, intelligent and interactive user interfaces. Accordingly, musicSpace facilitates searching and encourages browsing by displaying search results and parameters using multiple panes, allowing instantaneous paradigmatic shifts in search focus, and employing a detailed subject ontology to enable the semi-automatic construction of complex searches. In this paper we present the musicSpace explorer interface and demonstrate its efficacy. We describe key technologies behind musicSpace to reflect on performance and scalability. In particular, however, we describe how we will be evaluating the system in use for research, and describe our longitudinal study to assess the impact of this integrated approach on artefact discovery and research query support
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