Open access and scholarly books : Australian perspectives

This three-hour workshop tackles the crucial question of whether globally coordinated, market based approaches to funding open access monographs can support the unique needs of Australian research communities. The workshop takes place in the context of the release in August 2013 of the Book Industry Collaborative Council (BICC) report and especially the recommendations included in the chapter on scholarly book publishing in the humanities and social sciences. This workshop, with expert speakers from the BICC Committee and from across the scholarly publishing industry, will discuss the policy issues most likely to ensure that Australian scholarly communities and audiences are best served in an era of digital technology and globalisation. Australia must think globally and support developments that enhance the accessibility of publicly-funded research. Speakers will outline recent developments in scholarly monograph publishing including new Open Access initiatives and developments. Knowledge Unlatched, is one example of an attempt to create an internationally coordinated, market-based route to open access for Humanities, Arts and Social Sciences (HASS) monographs. Knowledge Unlatched, a not-for-profit London-based company is piloting a global library consortium approach to funding open access monographs and released its pilot program in early October with 28 titles from 13 publishers. The workshop invites discussion and debate from librarians, publishers, researchers and research funders on the role of international coordination and markets in securing a more open future for Australian HASS scholarship.

Knowledge unlatched : open access and scholarly books - workshop report

On 19 June 2013 Knowledge Unlatched and the Berkman Center for Internet and Society at Harvard Law School jointly convened a one-day workshop titled Open Access and Scholarly Books in Cambridge, MA. The workshop brought together a group of 21 invited publishers, librarians, academics and Open Access innovators to discuss the challenge of making scholarly books Open Access. This report captures discussions that took place on the day.

Can we text you? A qualitative exploration of young unemployed job-seekers’ attitudes to receiving resilience-building SMS messages

A significant minority of young job-seekers remain unemployed for many months, and are at risk of developing depression. Both empirical studies and theoretical models suggest that cognitive, behavioural and social isolation factors interact to increase this risk. Thus, interventions that reduce or prevent depression in young unemployed job-seekers by boosting their resilience are required. Mobile phones may be an effective medium to deliver resilience-boosting support to young unemployed people by using SMS messages to interrupt the feedback loop of depression and social isolation. Three focus groups were conducted to explore young unemployed job-seekers’ attitudes to receiving and requesting regular SMS messages that would help them to feel supported and motivated while job-seeking. Participants reacted favourably to this proposal, and thought that it would be useful to continue to receive and request SMS messages for a few months after commencing employment as well.

Sounds From The Empty City (soundtrack)

These wordless songs were composed as music first, and soundtrack second. There is a difference. A soundtrack will always be connected with whatever it is accompanying. Music doesn’t neccessarily need to reference anything else. The Empty City transformed a picture book into a non-verbal performance combining the live and animated. Without spoken words the show would dance on the dangerous intersection of music, image and action. In both theatre and film (and this production drew on both traditions) soundtrack and music are often added on at the end when everything’s been pre-determined, a passive, responsive mode for such a powerful artform. It’s literally added in ‘post’. In The Empty City, music was present from its inception and grew with the show. It was active in process and product. It frequently led rehearsals and shaped other key decisions in virtual and live performance. Rather than tailor-make music towards pre-determined moments, independent compositions created without specific reference to narrative experimented with the creation of a flock of small musical pieces. I was interested in seeing how they flew and where they roosted, rather than having them born and raised in (narrative) captivity. The sonic palette is largely acoustic, incorporating ukulele, prepared piano and supported by a range of other elements tending towards electronica. Eventually more than seventy pieces of music were made for this show, twice the number used. These pieces were then placed in relation to the emerging scenes, then adapted in duration, texture and progression to develop a relationship with the scene. In this way, music (even when it’s synced) has a conversation with a performance, an exchange that may result in surprise rather than fulfillment of expectation. Leitmotif emerged from loops and layers, as the pieces of music ‘conversed’ with each other, rather than being premeditated and imposed. Nineteen of these tracks are compiled for this release, which finds the compositions (which progressed through many versions) poised at the moment between their fullest iteration as ‘music’ and their editing and full incorporation into a sychronised soundtrack. They are released as the began: as 'music-alone' (Kivy) In picture-book writing, the mutual interplay of text and image is sometimes referred to as interanimation , and this is the kind of symbiosis this project sought in the creation of the soundtrack. Reviewers of the noted the important role of the soundtrack in two separate productions of The Empty City: “The original score…takes centre stage” (Borhani, 2013) “…swept up in its repetition of sounds and images, like a Bach fugue” (Zampatti, 2013)

Broadening the focus : the case for lifestyle journalism as a field of scholarly inquiry

This introduction to the special issue outlines the case for an increased focus on studying lifestyle journalism, an area of journalism which, despite its rapid rise over recent decades, has not received much attention from scholars in journalism studies. Criticised for being antithetical to public interest and watchdog notions of journalism, lifestyle journalism is still ridiculed by some as being unworthy of being associated with the term journalism. However, in outlining the field's development and a critique of definitions of journalism, this paper argues that there are a number of good reasons for broadening the focus. In fact, lifestyle journalism?here defined as a distinct journalistic field that primarily addresses its audiences as consumers, providing them with factual information and advice, often in entertaining ways, about goods and services they can use in their daily lives?has much to offer for scholarly inquiry and is of increasing relevance for society.

Clinician-driven automated classification of limb fractures from free-text radiology reports

The aim of this research is to report initial experimental results and evaluation of a clinician-driven automated method that can address the issue of misdiagnosis from unstructured radiology reports. Timely diagnosis and reporting of patient symptoms in hospital emergency departments (ED) is a critical component of health services delivery. However, due to disperse information resources and vast amounts of manual processing of unstructured information, a point-of-care accurate diagnosis is often difficult. A rule-based method that considers the occurrence of clinician specified keywords related to radiological findings was developed to identify limb abnormalities, such as fractures. A dataset containing 99 narrative reports of radiological findings was sourced from a tertiary hospital. The rule-based method achieved an F-measure of 0.80 and an accuracy of 0.80. While our method achieves promising performance, a number of avenues for improvement were identified using advanced natural language processing (NLP) techniques.

Automatic classification of free-text radiology reports to identify limb fractures using machine learning and the SNOMED CT ontology

Objective To develop and evaluate machine learning techniques that identify limb fractures and other abnormalities (e.g. dislocations) from radiology reports. Materials and Methods 99 free-text reports of limb radiology examinations were acquired from an Australian public hospital. Two clinicians were employed to identify fractures and abnormalities from the reports; a third senior clinician resolved disagreements. These assessors found that, of the 99 reports, 48 referred to fractures or abnormalities of limb structures. Automated methods were then used to extract features from these reports that could be useful for their automatic classification. The Naive Bayes classification algorithm and two implementations of the support vector machine algorithm were formally evaluated using cross-fold validation over the 99 reports. Result Results show that the Naive Bayes classifier accurately identifies fractures and other abnormalities from the radiology reports. These results were achieved when extracting stemmed token bigram and negation features, as well as using these features in combination with SNOMED CT concepts related to abnormalities and disorders. The latter feature has not been used in previous works that attempted classifying free-text radiology reports. Discussion Automated classification methods have proven effective at identifying fractures and other abnormalities from radiology reports (F-Measure up to 92.31%). Key to the success of these techniques are features such as stemmed token bigrams, negations, and SNOMED CT concepts associated with morphologic abnormalities and disorders. Conclusion This investigation shows early promising results and future work will further validate and strengthen the proposed approaches.

Settling the Pop Score : Pop Texts and Identity Politics [Book Review]

Review(s) of: Settling the Pop Score: Pop Texts and Identity Politics, Stan Hawkins, Aldershot, Hants. : Ashgate, 2002, ISBN 0 7546 0352 0; pb, 234pp, ill, music exx, bibl. , discog. , index. The scholarly study of popular music has its origins in sociology and cultural studies, disciplinary areas in which musical meaning is often attributed to aspects of economical and sociological function. Against this tradition, recent writers have offered what is now referred to as ‘popular musicology’: a method or approach that tends towards a specific engagement with ‘pop texts’ on aesthetic, and perhaps even ‘musical’ terms. Stan Hawkins uses the term popular musicology ‘at his own peril,’ clearly recognising the implicit scholarly danger in his approach, whereby ‘formalist questions of musical analysis’ are dealt with ‘alongside the more intertextual discursive theorisations of musical expression’ (p. xii). In other words, popular musicologists dare to tread that fine line between text and context. As editor of the journal Popular Musicology Online, Hawkins is a leading advocate of this practice, specifically in the application of music-analytical techniques to popular music. His methodology attests to the influence of other leading figures in the area, notably Richard Middleton, Allan F. Moore and Derek Scott (general editor of the Ashgate Popular and Folk Music Series in which this book is published).

Open Access and Research Conference 2013: Discovery, Impact and Innovation (Event report)

Event report on the Open Access and Research 2013 conference which focused on recent developments and the strategic advantages they bring to the research sector.

Automated classification of limb fractures from free-text radiology reports using a clinician-informed gazetteer methodology

Background Timely diagnosis and reporting of patient symptoms in hospital emergency departments (ED) is a critical component of health services delivery. However, due to dispersed information resources and a vast amount of manual processing of unstructured information, accurate point-of-care diagnosis is often difficult. Aims The aim of this research is to report initial experimental evaluation of a clinician-informed automated method for the issue of initial misdiagnoses associated with delayed receipt of unstructured radiology reports. Method A method was developed that resembles clinical reasoning for identifying limb abnormalities. The method consists of a gazetteer of keywords related to radiological findings; the method classifies an X-ray report as abnormal if it contains evidence contained in the gazetteer. A set of 99 narrative reports of radiological findings was sourced from a tertiary hospital. Reports were manually assessed by two clinicians and discrepancies were validated by a third expert ED clinician; the final manual classification generated by the expert ED clinician was used as ground truth to empirically evaluate the approach. Results The automated method that attempts to individuate limb abnormalities by searching for keywords expressed by clinicians achieved an F-measure of 0.80 and an accuracy of 0.80. Conclusion While the automated clinician-driven method achieved promising performances, a number of avenues for improvement were identified using advanced natural language processing (NLP) and machine learning techniques.

Urban food futures : ICTs and opportunities

Food is a vital foundation of all human life. It is essential to a myriad of political, socio-cultural, economic and environmental practices throughout history. As Kaplan [1] contends, “the scholarship on food has real pedigree.” Today, practices of food production, consumption and distribution have the potential to go through immensely transformative shifts as network technologies become increasingly embedded in every domain of contemporary life. This presents unique opportunities for further scholarly exploration on this topic, which this special issue intends to address. Information and communication technologies (ICTs) are one of the pillars of contemporary global functionality and sustenance and undoubtedly will continue to present new challenges and opportunities for the future. As such, this special issue of Futures has been brought together to address challenges and opportunities at the intersection of food and ICTs. In particular, the edition asks, what are the key roles that network technologies play in re-shaping social and economic networks of food?

Time, space, and text in the elementary school digital writing classroom

Theorists of multiliteracies, social semiotics, and the New Literacy Studies have drawn attention to the potential changing nature of writing and literacy in the context of networked communications. This article reports findings from a design-based research project in Year 4 classrooms (students aged 8.5-10 years) in a low socioeconomic status school. A new writing program taught students how to design multimodal and digital texts across a range of genres and text types, such as web pages, online comics, video documentaries, and blogs. The authors use Bernstein’s theory of the pedagogic device to theorize the pedagogic struggles and resolutions in remaking English through the specialization of time, space, and text. The changes created an ideological struggle as new writing practices were adapted from broader societal fields to meet the instructional and regulative discourses of a conventional writing curriculum.