I Must Do the Post - Using Poetry for Raising Dementia Awareness

This paper reviews the use of a poem written by a care assistant as part of a dementia awareness course. the author of the poem went on to use the poem to help staff within the care home gain an insight and to promote reflection and discussion about caring for the person living with dementia as part of a training programme. an evaluation of its use was a also undertaken and staff reported that this poem was thought provoking, insightful and had helped them to reflect on how they work with people living with dementia.

Exploring social representations of adapting to climate change using topic modeling and Bayesian networks

When something unfamiliar emerges or when something familiar does something unexpected people need to make sense of what is emerging or going on in order to act. Social representations theory suggests how individuals and society make sense of the unfamiliar and hence how the resultant social representations (SRs) cognitively, emotionally, and actively orient people and enable communication. SRs are social constructions that emerge through individual and collective engagement with media and with everyday conversations among people. Recent developments in text analysis techniques, and in particular topic modeling, provide a potentially powerful analytical method to examine the structure and content of SRs using large samples of narrative or text. In this paper I describe the methods and results of applying topic modeling to 660 micronarratives collected from Australian academics / researchers, government employees, and members of the public in 2010-2011. The narrative fragments focused on adaptation to climate change (CC) and hence provide an example of Australian society making sense of an emerging and conflict ridden phenomena. The results of the topic modeling reflect elements of SRs of adaptation to CC that are consistent with findings in the literature as well as being reasonably robust predictors of classes of action in response to CC. Bayesian Network (BN) modeling was used to identify relationships among the topics (SR elements) and in particular to identify relationships among topics, sentiment, and action. Finally the resulting model and topic modeling results are used to highlight differences in the salience of SR elements among social groups. The approach of linking topic modeling and BN modeling offers a new and encouraging approach to analysis for ongoing research on SRs.

Recognition of Activities of Daily Living from Topic Model

Research in ubiquitous and pervasive technologies have made it possible to recognise activities of daily living through non-intrusive sensors. The data captured from these sensors are required to be classified using various machine learning or knowledge driven techniques to infer and recognise activities. The process of discovering the activities and activity-object patterns from the sensors tagged to objects as they are used is critical to recognising the activities. In this paper, we propose a topic model process of discovering activities and activity-object patterns from the interactions of low level state-change sensors. We also develop a recognition and segmentation algorithm to recognise activities and recognise activity boundaries. Experimental results we present validates our framework and shows it is comparable to existing approaches.

Law, poetry and medicine: the literate professionals in autonomous Gaelic Ireland, c.1250 - c.1630

This thesis is about a class of literate professionals that served as hereditary brehons, poets and doctors to the Gaelic aristocracy over a period from c.1250-c.1630. My investigation into these families brings together evidence from Gaelic and English sources to highlight the work these families did for their patrons, their status in society and their subsequent fall in the seventeenth century. Such a broad canvas allows us to observe the vibrancy of Gaelic literary culture as these families adapted to the changing political landscape to absorb new Anglo-Norman patrons and assimilated English and Continental ideas while maintaining their distinctive identity. I want to look beyond the ideology espoused by these families to look at the practical choices members of these families made to maintain their status and relevance in a changing social context. To do this I have chosen to focus on each of the three professions in individual chapters to highlight the continuities and changes within the professions and ultimately by comparing the three groups to gauge the success or failure of these professional families to adapt to the encroachment of the New English and the ultimate collapse of the Gaelic world. This thesis takes a holistic approach to these families by including branches of these families not engaged in the hereditary profession. It seeks to provide a broader picture of Gaelic society below the level of the aristocracy by looking at the geographic distribution of these families, their proximity to centres of power, and to land and sea routes that can indicate their involvement in alternative economic activities.

The New Scots: Migration and Diaspora in Scottish Poetry.

This chapter examines the poetry of Scottish South Asians, the "New Scots" who bring a whole history of displacement, dislocation and relocation with them, as their memory of the "elsewhere" enters their writing. Their voices are significant as they embody multicultural Scotland with postcolonial dialects that signify an encounter in the Third Space where they are affected by and affect the "host" community. This chapter will question whether the writing of "New Scots" has added more than just "colour" to Scottish Poetry, as it traces the recent migrant history and analyses the lives and "voices" of diasporic communities as evident in their poetry. The objective is to assess how the new "voices" have blended in, expanded and/or challenged the boundaries of what defines Scottish Poetry, and determine whether they form a "community" of poets distinguished by the complexity of their regional allegiances, both past and present.

Relations among Topic Knowledge, Individual Interest, and Relational Reasoning, and Critical Thinking in Maternity Nursing

Critical thinking in learners is a goal of educators and professional organizations in nursing as well as other professions. However, few studies in nursing have examined the role of the important individual difference factors topic knowledge, individual interest, and general relational reasoning strategies in predicting critical thinking. In addition, most previous studies have used domain-general, standardized measures, with inconsistent results. Moreover, few studies have investigated critical thinking across multiple levels of experience. The major purpose of this study was to examine the degree to which topic knowledge, individual interest, and relational reasoning predict critical thinking in maternity nurses. For this study, 182 maternity nurses were recruited from national nursing listservs explicitly chosen to capture multiple levels of experience from prelicensure to very experienced nurses. The three independent measures included a domain-specific Topic Knowledge Assessment (TKA), consisting of 24 short-answer questions, a Professed and Engaged Interest Measure (PEIM), with 20 questions indicating level of interest and engagement in maternity nursing topics and activities, and the Test of Relational Reasoning (TORR), a graphical selected response measure with 32 items organized in scales corresponding to four forms of relational reasoning: analogy, anomaly, antithesis, and antinomy. The dependent measure was the Critical Thinking Task in Maternity Nursing (CT2MN), composed of a clinical case study providing cues with follow-up questions relating to nursing care. These questions align with the cognitive processes identified in a commonly-used definition of critical thinking in nursing. Reliable coding schemes for the measures were developed for this study. Key findings included a significant correlation between topic knowledge and individual interest. Further, the three individual difference factors explained a significant proportion of the variance in critical thinking with a large effect size. While topic knowledge was the strongest predictor of critical thinking performance, individual interest had a moderate significant effect, and relational reasoning had a small but significant effect. The findings suggest that these individual difference factors should be included in future studies of critical thinking in nursing. Implications for nursing education, research, and practice are discussed.

POSTDATA – Towards publishing European poetry as linked open data

POSTDATA is a 5 year's European Research Council (ERC) Starting Grant Project that started in May 2016 and is hosted by the Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain. The context of the project is the corpora of European Poetry (EP), with a special focus on poetic materials from different languages and literary traditions. POSTDATA aims to offer a standardized model in the philological field and a metadata application profile (MAP) for EP in order to build a common classification of all these poetic materials. The information of Spanish, Italian and French repertoires will be published in the Linked Open Data (LOD) ecosystem. Later we expect to extend the model to include additional corpora. There are a number of Web Based Information Systems in Europe with repertoires of poems available to human consumption but not in an appropriate condition to be accessible and reusable by the Semantic Web. These systems are not interoperable; they are in fact locked in their databases and proprietary software, not suitable to be linked in the Semantic Web. A way to make this data interoperable is to develop a MAP in order to be able to publish this data available in the LOD ecosystem, and also to publish new data that will be created and modeled based on this MAP. To create a common data model for EP is not simple since the existent data models are based on conceptualizations and terminology belonging to their own poetical traditions and each tradition has developed an idiosyncratic analytical terminology in a different and independent way for years. The result of this uncoordinated evolution is a set of varied terminologies to explain analogous metrical phenomena through the different poetic systems whose correspondences have been hardly studied – see examples in González-Blanco & Rodríguez (2014a and b). This work has to be done by domain experts before the modeling actually starts. On the other hand, the development of a MAP is a complex task though it is imperative to follow a method for this development. The last years Curado Malta & Baptista (2012, 2013a, 2013b) have been studying the development of MAP's in a Design Science Research (DSR) methodological process in order to define a method for the development of MAPs (see Curado Malta (2014)). The output of this DSR process was a first version of a method for the development of Metadata Application Profiles (Me4MAP) (paper to be published). The DSR process is now in the validation phase of the Relevance Cycle to validate Me4MAP. The development of this MAP for poetry will follow the guidelines of Me4MAP and this development will be used to do the validation of Me4MAP. The final goal of the POSTDATA project is: i) to be able to publish all the data locked in the WIS, in LOD, where any agent interested will be able to build applications over the data in order to serve final users; ii) to build a Web platform where: a) researchers, students and other final users interested in EP will be able to access poems (and their analyses) of all databases; b) researchers, students and other final users will be able to upload poems, the digitalized images of manuscripts, and fill in the information concerning the analysis of the poem, collaboratively contributing to a LOD dataset of poetry.

A Fuzzy Decision Strategy for Topic Identification and Dynamic Selection of Language Models

International audience

Wrath in Diane Wakoski's Poetry

[Sin resumen]

Everything Appeared (Todo parecia): Contemporary Cuban Poetry on Gay and Lesbian Topics

This flyer promotes a book presentation of the book " Everything Appeared (Todo parecia) : Contemporary Cuban Poetry on Gay and Lesbian Topics" by Coeditor Jesus J. Barquet. The edited volume offers a variety of authors from the 20th Century to the present. The event will be held in Spanish on November 2, 2015 at Books & Books Coral Gables.

Evolution and Permanence in Cuban Poetry- The Poetry of Lazaro Castillo

This flyer promotes the lecture "Evolution and Permanence in Cuban Poetry- The Poetry of Lazaro Castillo" by Lazaro Castillo, a leading young poet in Cuba. His texts are characterized by his interest in daily life, a collection of itinerant anecdotes, and the amorous vocation that precedes pain. This lecture is cosponsored by the Department of Modern Languages and was conducted in Spanish. It was held on November 20,2015 at FIU Modesto A. Maidique Campus, CBC254.

Topic extraction from microblog posts using conversation structures

Conventional topic models are ineffective for topic extraction from microblog messages since the lack of structure and context among the posts renders poor message-level word co-occurrence patterns. In this work, we organize microblog posts as conversation trees based on reposting and replying relations, which enrich context information to alleviate data sparseness. Our model generates words according to topic dependencies derived from the conversation structures. In specific, we differentiate messages as leader messages, which initiate key aspects of previously focused topics or shift the focus to different topics, and follower messages that do not introduce any new information but simply echo topics from the messages that they repost or reply. Our model captures the different extents that leader and follower messages may contain the key topical words, thus further enhances the quality of the induced topics. The results of thorough experiments demonstrate the effectiveness of our proposed model.