882 resultados para Narrative pragmatics


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Description of a patient's injuries is recorded in narrative text form by hospital emergency departments. For statistical reporting, this text data needs to be mapped to pre-defined codes. Existing research in this field uses the Naïve Bayes probabilistic method to build classifiers for mapping. In this paper, we focus on providing guidance on the selection of a classification method. We build a number of classifiers belonging to different classification families such as decision tree, probabilistic, neural networks, and instance-based, ensemble-based and kernel-based linear classifiers. An extensive pre-processing is carried out to ensure the quality of data and, in hence, the quality classification outcome. The records with a null entry in injury description are removed. The misspelling correction process is carried out by finding and replacing the misspelt word with a soundlike word. Meaningful phrases have been identified and kept, instead of removing the part of phrase as a stop word. The abbreviations appearing in many forms of entry are manually identified and only one form of abbreviations is used. Clustering is utilised to discriminate between non-frequent and frequent terms. This process reduced the number of text features dramatically from about 28,000 to 5000. The medical narrative text injury dataset, under consideration, is composed of many short documents. The data can be characterized as high-dimensional and sparse, i.e., few features are irrelevant but features are correlated with one another. Therefore, Matrix factorization techniques such as Singular Value Decomposition (SVD) and Non Negative Matrix Factorization (NNMF) have been used to map the processed feature space to a lower-dimensional feature space. Classifiers with these reduced feature space have been built. In experiments, a set of tests are conducted to reflect which classification method is best for the medical text classification. The Non Negative Matrix Factorization with Support Vector Machine method can achieve 93% precision which is higher than all the tested traditional classifiers. We also found that TF/IDF weighting which works well for long text classification is inferior to binary weighting in short document classification. Another finding is that the Top-n terms should be removed in consultation with medical experts, as it affects the classification performance.

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In this chapter, we draw out the relevant themes from a range of critical scholarship from the small body of digital media and software studies work that has focused on the politics of Twitter data and the sociotechnical means by which access is regulated. We highlight in particular the contested relationships between social media research (in both academic and non-academic contexts) and the data wholesale, retail, and analytics industries that feed on them. In the second major section of the chapter we discuss in detail the pragmatic edge of these politics in terms of what kinds of scientific research is and is not possible in the current political economy of Twitter data access. Finally, at the end of the chapter we return to the much broader implications of these issues for the politics of knowledge, demonstrating how the apparently microscopic level of how the Twitter API mediates access to Twitter data actually inscribes and influences the macro level of the global political economy of science itself, through re-inscribing institutional and traditional disciplinary privilege We conclude with some speculations about future developments in data rights and data philanthropy that may at least mitigate some of these negative impacts.

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In this policy column within this special edition on "The Arts in Language Arts", we critique the current place of multimodality and narratives in research and curriculum policy. This is a vital issue of significance for literacy educators, researchers, and policy makers because the narrative texts that circulate in our everyday lives are multimodal, tied to the ever-broadening range of narratives forms in digital sites of display. Here, we critically evaluate the place of multimodality and narratives in the language arts or English curriculum policies of two nations, the USA and Australia. In particular, we highlight the silence on multimodality within the Common Core State Standards, USA, and the contrasting centrality of multimodality in the National Curriculum: English, Australia.

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As the Internet becomes deeply embedded into consumers’ daily life, the digital virtual world brings significant influence to consumers’ self and narrative. Prior studies look at consumer self from either from a certain online space or comparing consumers’ physical and digital virtual selves but not the integration of the physical/digital world. This paper aims to explore the meanings of the digital virtual space on consumers’ narrative as a whole (their interests, dreams, or subjectivity). We utilise a postmodern concept of the cyborg to understand the cultural complexity, subjective meanings of, and the extent to which the digital virtual space plays a role in consumers’ self-narrative. We conducted in-depth interviews and gathered three consumer narratives. Our findings indicate that consumers’ narrative contains important fragments from both physical and digital virtual worlds and their physical and digital virtual selves form a feedback loop that strengthen their overall narrative.

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This paper reports on two lengthy studies in Physical education teacher education (PETE) conducted independently but which are epistemologically and methodologically linked. The paper describes how personal construct theory (PCT) and its associated methods provided a means for PETE students to reflexively construct their ideas about teaching physical education over an extended period. Data are drawn from each study in the form of a story of a single participant to indicate how this came about. Furthermore we suggest that PCT might be both a useful research strategy and an effective approach to facilitate professional development in a teacher education setting.

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This article discusses the design of interactive online activities that introduce problem solving skills to first year law students. They are structured around the narrative framework of ‘Ruby’s Music Festival’ where a young business entrepreneur encounters various issues when organising a music festival and students use a generic problem solving method to provide legal solutions. These online activities offer students the opportunity to obtain early formative feedback on their legal problem solving abilities prior to undertaking a later summative assessment task. The design of the activities around the Ruby narrative framework and the benefits of providing students with early formative feedback will be discussed.

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Objective To evaluate the evidence for association between obesity risk outcomes >12 months of age and timing of solid introduction in healthy term infants in developed countries, the large majority of whom are not exclusively breastfed to 6 months of age. Methods Studies included were published 1990-March 2013. Results Twenty-six papers with weight status or obesity prevalence outcomes were identified. Studies were predominantly cohort design, most with important methodological limitations. Ten studies reported a positive association. Of these only two were large good quality studies and both examined the outcome of early (<4 months) solid introduction. None of the four good quality studies that directly evaluated current guidelines provided evidence of any clinically relevant protective effect of solid introduction from 4-5 versus ≥ 6 months of age. Conclusion Overall the introduction of solids prior to 4 months may result in increased risk of childhood obesity but there is little evidence of adverse weight status outcomes associated with introducing solids at 4-6 rather than at 6 months. Implications More and better quality evidence is required to inform guidelines on the ‘when, what and how’ of complementary feeding.

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Narrative text is a useful way of identifying injury circumstances from the routine emergency department data collections. Automatically classifying narratives based on machine learning techniques is a promising technique, which can consequently reduce the tedious manual classification process. Existing works focus on using Naive Bayes which does not always offer the best performance. This paper proposes the Matrix Factorization approaches along with a learning enhancement process for this task. The results are compared with the performance of various other classification approaches. The impact on the classification results from the parameters setting during the classification of a medical text dataset is discussed. With the selection of right dimension k, Non Negative Matrix Factorization-model method achieves 10 CV accuracy of 0.93.

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Narrating is simultaneously self-interpretation and self-construction. People make sense of their lives and create their identities through an active process of assembling and applying meaning to memories, experiences, thoughts, actions and passions. Such a process can usefully be described as a bricolage: life narratives are created as an assemblage of scattered experiences and events. Through the particular way in which they are arranged, the storyteller constructs what Paul Ricoeur (1992) calls a “narrative identity”; that is, an identity which is organised through and specific to the story told. Applying this notion of narrative as bricolage to ‘Heywire’ – an Australian youth life storytelling project – this paper discusses the unique affordances that the process of storytelling offers in terms of identity and the way new, digital technologies and the internet augment the features of life narratives. It argues that narrative, in addition to new media, offers important tools through which young people who participate in the Heywire project make sense of personal experiences and craft their own identities in powerful and purposeful ways.

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This paper reports on a collaborative research project between the Faculty of Health Sciences at the University of Ottawa, Triathlon Canada, and the Coaching Association of Canada (CAC). It was designed around a lifelong learner perspective and the Organization for Economic Cooperation and Development’s (OECD) qualifications system. In this paper, we first review the coach learning literature as it pertains to the CAC. We then highlight the background and perspective of a high performance director’s experience in designing and attempting to implement a novel coach education training program. In doing so we uncover the frustrations and tensions in trying to balance innovation with prescribed process and policy. We conclude by making suggestions for further research specifically focused on the background of the key agents involved with the design, implementation and administration of coach education training programs in the competition-development context of the NCCP.

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Background Contemporary psychotherapy research demonstrates that whilst most clients respond positively to psychological interventions, a small, but significant proportion of clients fail to experience the expected benefits of therapy. Although methodologies exist that enable the identification of successful and unsuccessful therapy, we have a limited understanding of the processes associated with these outcomes. Aim The current study sought to examine the relationship between therapeutic outcome and therapeutic language. Methodology: The therapeutic outcomes of 42 trainee-therapists who provided psychotherapy to 173 clients were tracked with the OQ-45.2 over a 5 year period with the view of identifying the client/ trainee-therapist dyads with the best and poorest outcomes. The 6 best outcome and 6 poorest outcome client/ trainee-therapist dyads were identified in order to examine the characteristics of therapeutic conversations associated with better and poorer therapy outcomes. Therapeutic conversations were analysed with the Narrative Process Coding System. Findings The best outcome client/ trainee-therapist dyads demonstrated significant increases in reflexive conversation over the course of psychotherapy. Implications Examining the practices of the best and poorest outcome client/ trainee-therapist dyads with objective measures of therapy outcome provides an important first step in understanding how therapeutic language may contribute to the greatest therapeutic improvement or deterioration.

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This paper reports the findings of a study investigating Chinese English language learners’ perceptions of pragmatics in the EFL learning context in China. A total of 237 Chinese EFL first-year university students participated in the study. A questionnaire and focus group interviews were used to collect data about learners’ pragmatics insights during their English language acquisition process. The findings of the study have provided empirical evidence for English educators and practitioners in China, indicating that there have been substantive changes in Chinese university students’ perceptions of English pragmatics. Except for organizational knowledge, they have a strong desire to acquire English pragmatic knowledge in their English language learning process, and would like to be pragmatically competent language users. This inquiry emphasizes the necessity to introduce pragmatics use and practice, which can effectively facilitate Chinese English learners to achieve pragmatic competence in communication.

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AIMS The aim of this narrative review of the literature was to examine the current state of knowledge regarding the impact of aggressive surgical interventions for severe stroke on patient and caregiver quality of life and caregiver outcomes. BACKGROUND Decompressive hemicraniectomy (DHC) is a surgical therapeutic option for treatment of massive middle cerebral artery infarction (MCA), lobar intracerebral hemorrhage (ICH), and severe aneurysmal subarachnoid hemorrhage (aSAH). Decompressive hemicraniectomy has been shown to be effective in reducing mortality in these three life-threatening conditions. Significant functional impairment is an experience common to many severe stroke survivors worldwide and close relatives experience decision-making difficulty when confronted with making life or death choices related to surgical intervention for severe stroke. DATA SOURCES Academic Search Premier, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline, and PsychInfo. REVIEW METHODS A narrative review methodology was utilized in this review of the literature related to long-term outcomes following decompressive hemicraniectomy for stroke. The key words decompressive hemicraniectomy, severe stroke, middle cerebral artery stroke, subarachnoid hemorrhage, lobar ICH, intracerebral hemorrhage, quality of life, and caregivers, literature review were combined to search the databases. RESULTS Good functional outcomes following DHC for life-threatening stroke have been shown to be associated with younger age and few co-morbid conditions. It was also apparent that quality of life was reduced for many stroke survivors, although not assessed routinely in studies. Caregiver burden has not been systematically studied in this population. CONCLUSION Most patients and caregivers in the studies reviewed agreed with the original decision to undergo DHC and would make the same decision again. However, little is known about quality of life for both patients and caregivers and caregiver burden over the long-term post-surgery. Further research is needed to generate information and interventions for the management of ongoing patient and carer recovery following DHC for severe stroke.

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Over the past forty years, significant research has been conducted on the epidemiology of late onset dementia. Less is known however, about the prevalence, incidence and burden of illness of early onset dementia (occurring prior to 65 years of age). The purpose of this narrative review is to examine existing literature regarding the experiences and implications of living with early onset dementia for patients, caregivers, and family members. The following questions were addressed: (1) What is the impact of early onset dementia on patients, families and carers? and; (2) What are the needs of patients with early onset dementia and their family and carers? Key findings form this review are presented.