303 research outputs found
Rival Queens : Actresses, Performance, and the Eighteenth-Century British Theater /
No full textHistorians of British theater have often noted that the eighteenth century was an age not of the author but of the actor. In Rival Queens, Felicity Nussbaum argues that the period might more accurately be seen as the age of women in the theater, and more particularly as the age of the actress.Historians of British theater have often noted that the eighteenth century was an age not of the author but of the actor. In Rival Queens, Felicity Nussbaum argues that the period might more accurately be seen as the age of women in the theater, and more particularly as the age of the actress.Electronic reproduction.Mode of access: Internet via World Wide Web.Felicity Nussbaum is Distinguished Professor of English at the University of California, Los Angeles. She is the author of numerous books, including The Limits of the Human: Fictions of Anomaly, Race, and Gender in the Long Eighteenth Century.Description based on online resource; title from PDF title page (publisher’s Web site, viewed October 27 2015
The felicity of Queen Elizabeth and her times, with other things /
No full textMode of access: Internet
Perpetua and Felicity: Faith and Courage in the Face of Death
No full textPerpetua was a young, educated wife and mother who was martyred for her Christian faith. Because she was educated, she was able to record most of the events leading to her martyrdom in her diary. Her account was later supplemented by another author and narrator. The account also includes details about Felicity, a slave girl who was arrested with Perpetua. While Felicity is included in Perpetua’s story, most of the information about them focuses on Perpetua. Throughout history, and particularly in Medieval times, the Church has painted her as a perfect saint who rejected her family for unity with Christ. On the other hand, feminists and some egalitarians have used Perpetua as an example of a woman fighting for equality under the patriarchy. However, both of these views misinterpret Perpetua’s motives for the sake of their own gain when in reality, Perpetua was simply a faithful Christian who gave her life for the sake of Christ
Nurses-in-training
No full textTrainee's and tutors taken out front of the Nursing Home.Front row(L to R)- Jen Mcdonald, Gloria Willliamson, Yvonne Tabalotny, Doreen Calderilla, Felicity Hage, Rosalie Humpries Back row(L to R)-Madeline thomas, Priscilla Walker(Tutor), Carlene King(tutor), Cyd James, Sandra Kirby, Faye Crosby, Viv Buckton, , Chris Jenner, Barbara Jeyer, Maria Pantow, , Barbara Brant(tutor).Photo size - 23.5x15cm, Stored Record folder
How We Change Our Minds Matters: Misinformation, ABMs, and Deep Uncertainty
No full textMisinformation on social media is an urgent grand challenge. Misinformation has caused excess deaths because people abstain from getting vaccinated and other evidence-based prevention behaviors. Misinformation also influences various other important topics such as climate change. And it has the potential to influence countless other areas. In order to exemplify the broader point, this project focuses on simple example of beliefs around the safety of COVID-19 vaccinations. To find ways to successfully tackle this grand challenge, it is crucial to have thorough understanding of the system. Modeling and simulation can be a powerful tool to support our reasoning about big and complex systems such as misinformation on social media. Therefore, I choose to look at how modeling and simulation can be useful for the study of misinformation on social media and of potential counter-measures.Agent-based models (ABMs) are one of the useful modeling paradigms for this grand challenge. And while there is a body of literature on ABMs in the field of misinformation research, there is structural uncertainty about how to represent the way that people change their minds on social media. Different types of representations of this updating process are used. It is unclear which of them is the most suitable representation of the real-world process and also to what extent it makes a difference for the choice of counter-measures. Moreover, the choice between these different belief update functions is usually not discussed. And to the best of my knowledge, nobody has explored the issue of whether the choice between belief update functions makes a substantial difference in the conclusions from the studies.Because of the significance of this grand challenge and the lack of exploring a key structural uncertainty, I choose to apply a method for exploring uncertainty in the context of ABMs. More specifically, because the structural uncertainty about the belief update function is a central component of models in this field, I explore a method for handling this structural uncertainty. This project is a show case of the value that methods from the field of Decision-Making Under Deep Uncertainty (DMDU) have for the field of misinformation focused ABMs.Yet, applying a DMDU approach is not only useful for enabling exploration of uncertainties. With many DMDU methods, it is possible to evaluate policies based on not only a single, but on multiple objectives. As far as I know, also the evaluation of multiple objectives has not previously been done in the field of opinion dynamic models such as ABMs which focus on misinformation on social media. However, policies that aim at tackling the misinformation challenge do not only impact one single stakeholder, but a multitude of diverse stakeholders who care about various aspects of the system. If we pick policies by only optimizing for one objective, we run the risk of merely shifting the problem. To find solutions that are sustainable and work for the whole system, it is helpful to consider multiple metrics that stakeholders care about. The ranking and filtering by multiple objectives is not trivial. But there is a method called non-dominated ranking which can be applied to do exactly that. This results in so-called Pareto-optimal policies. It is in this specific niche that I pursue the following methodological question within the field of agent-based misinformation modeling:Main Research QuestionHow does the consideration of structural uncertainty with respect to the choice between different belief update functions influence the resulting Pareto-optimal policies and their performance?I look at three alternative belief update functions, where each belief update function is represented by one model. I show that the choice of the belief update function makes a significant difference for what kind of policies are Pareto-optimal and for the outcomes that stem from these policies. To investigate how the choice of the belief update function influences which policies are Pareto-optimal and what kind of outcomes result, I apply the DMDU-method of Many-Objective Robust Decision-Making (MORDM) approach. With DMDU methods, modellers can acknowledge the uncomfortable situation in which we know that we have uncertainties, ruining the possibility of using models as reliable prediction machines. These uncertainties can be about the real world's states (i.e., parametric uncertainties) or its processes (i.e., structural uncertainty). When applying DMDU methods, modellers can aim to find policies that perform robustly over a large number of possible instantiations of parametric or structural uncertainties. In this project, I first evaluate more than 26'000 candidate policies with each of the three belief update functions. Then, I select a set of Pareto-optimal policies for each belief update function. Additionally, I select a set of policies that seem optimal when only considering a single metric. Subsequently, I re-evaluate Pareto-optimal policies of each belief update function under deep uncertainty to gain a better impression of their performance. Finally, I compare the commonalities and differences between the selected policies and their performances. This, I do for either method of selection and for all three belief update functions.To explore the structural uncertainty, I use a model which can be instantiated with either of the alternative belief update functions. I refer to these three possible instantiations as the three different models. The first model uses the commonly used function based on the research by Deffuant (hereafter 'DEFFUANT model'). In it, beliefs are always updated by a fix percentage towards the newly incoming information. In this project, this newly incoming information is the belief that is represented in a seen post. The second model samples whether a belief update happens or not. If an update happens, the new belief is the average between the previous belief and the newly incoming information. We call this the 'SAMPLE model'. Unfortunately, neither of these two models includes well-established phenomena from social psychology. Examples of such phenomena include for instance that we are more willing to update towards beliefs that are more similar to ours, that we have limited attention capacity, and that it takes more to change someone's mind when they are very convinced of their current belief than when they are uncertain. The third model was chosen to fill this void by basing its belief update function on Social Impact Theory (SIT) and adjusting this theory to the context of social media. This model is referred to as the 'SIT model'.Main Findings- There is a clear distinction between the models' optimal policies as well as their outcomes.- Differences in parameters do make a difference.- The models' optimal policies exhibit an order in how optimistic their outcomes are. This order (in descending direction) is DEFFUANT, SAMPLE, and SIT.- The outcomes of the DEFFUANT and the SAMPLE model are more similar to each other than to the SIT model.The main methodological take-away is that the DMDU approach can bring substantial value to the field of ABM-based studies on the grand challenge of misinformation on social media platforms. While this is shown by a simple exploration of the structural uncertainty with respect to the belief update, many more insights could be gathered by utilizing the DMDU approach. For instance, the DMDU approach offers state-of-the-art methods to identify vulnerable scenarios, i.e., scenarios which would be particularly bleak. Another example could be to explore different problem formulations with different sets of objectives or other structural uncertainties such as the posting behavior.Furthermore, by utilizing the tools of DMDU, also society as a whole can benefit. By including multiple objectives and a wide range of considered uncertainties, the many different world-views and values of the diverse stakeholders can be taken into account in order to avoid potential policy gridlock situations. This could contribute to tackling the misinformation grand challenge more successfully and thus for instance lead to more people embracing evidence-based medical interventions.https://github.com/felicity-reddel/MisinfoPyEngineering and Policy Analysi
Echo writes back: the figure of the author in 'true short story' by Ali Smith
No full textAli Smith’s 2008 collection The First Person And Other Stories re-examines the implied contract between reader and writer. In particular, the first piece in the collection, ‘True Short Story’, challenges our reading of the text as ‘story’. It is highly metafictive, with little conventional structure, and apparently autobiographical, and the narrator must be the author too – mustn’t she(it)? Smith insists that we read the author into the work, in order to create a new set of questions around the debate of authorial identity. ‘True Short Story’ considers what difference it makes to the reader when the author’s voice is apparently unmediated by any fictional narrator. Does this make the story autobiography rather than fiction? If it is not fiction, does that mean it is not a story either? If it is fiction, why use so many apparently verifiable facts? The article also considers whether Jorge Luis Borges has anything to say about Smith’s disruption of the sujet. The figure of the author in ‘Borges and I’ is compared with that in ‘True Short Story’, together with Paul Auster’s apparent appearance in his City of Glass.(1987
The Incredible Here and Now: The Play
No full textThe Incredible Here and Now is a play about cars and boys and having to grow up too soon. Charcoal chicken, a white Pontiac Trans Am, the Council pool, Michael is living in the shadow of his older brother Dom. The biggest guy in the school. Best car in the West. The guy who just can’t help but grab everyone’s attention. The guy with the girlfriend with the huge-arse hair. When he is gone Michael roams the streets, navigating life, friendship, love and family. The Incredible Here and Now is a poignant rollercoaster ride celebrating life, first love, family and new beginnings, traversing the streets of Western Sydney. Adapted for the stage by international award-winning local author and playwright Felicity Castagna
The Return of the Author through Dave Eggers's What Is the What
No full textThe following essay attempts to prove that Roland Barthes's "The Death of the Author" falls short in describing Dave Eggers's What Is the What. Since the book is the result of the collaborative work between the writer and Valentino Achak Deng, the text contains a multiplicity of voices that intend to be heard, and have an impact on not only South Sudan, where most of the action takes place, but also the audience. Thus, one of the expected outcomes of the narrative is to support financially a non-profit organization created by Eggers and Deng. The spatial dimension of the book, however, is not the sole common element between textual meaning and actual facts. Although Eggers frames his work as 'a Novel', the text is based on Deng's life and is historically accurate. The Sudanese Civil War shaped Deng's infancy and identity. Therefore, the recounted events are not to be confined to sheer fiction due to their significance in terms of power disparities and human rights violations.El següent treball pretén demostrar que l'argument de Roland Barthes en relació a "La mort de l'autor" és inaplicable en analitzar What Is the What, l'autor del qual és Dave Eggers. Com que el llibre és el resultat de la cooperació entre l'escriptor i Valentino Achak Deng, el text conté una multiplicitat de veus que procuren fer-se escoltar i tenir una influència positiva no sols al Sudan del Sud, on té lloc la majoria de l'acció, sinó també de cara als lectors. Així doncs, un dels efectes que la narració cerca és donar suport econòmic a una organització sense ànim de lucre creada pels mateixos Eggers i Deng. No obstant això, la dimensió espacial del text no és l'únic element en comú entre el contingut del llibre i els fets reals. Tot i que Eggers considera que l'obra és 'una Novel·la', el text es basa en la vida de Deng i, a més, és fidel als esdeveniments històrics. La Guerra Civil Sudanesa marcà la infantesa i la identitat de Deng. És per això que els fets narrats no es poden relegar al terreny de la ficció a causa de la seva rellevància quant a la desigualtat de poder i a les violacions dels drets humans
The Author and the Person: A Foucauldian Reflection on the Author in Knowledge Organization Systems
No full textBased on Foucault’s exploration of the author-function, the current study investigates knowledge organization systems’ treatment of persons. FRBR and FRAD do well to extend the information in library authority records beyond the personal name as a character string to include attributes of the person, yet aspects of the person as an author and of her author-function are still lacking. This paper briefly compares RDA/MARC and other current initiatives, and finds that Europeana, AustLit, The American Civil War: Letters and Diaries, and DBpedia all have the potential to record both attributes and relationships in authority records for persons. We conclude that additional attributes, relationships, and the previously unused category of events are pivotal to moving toward more Foucault-friendly KOSs in libraries
An Army of Soldiers or a Meadow
No full textAn Army of Soldiers or a Meadow: The Seagram Building and the "Art of Modern Architecture" focuses on the New York headquarters of Joseph E. Seagram & Sons (1954–58), designed by Ludwig Mies van der Rohe in association with Philip Johnson. Drawing upon archival documents and the history of the building's design and reception, Felicity D. Scott demonstrates the participation of the tower and its plaza in an important transformation of modern architecture—usually identified as the rise of Postmodernism. She closely analyzes the shifting assessment of a key interpreter of the building, Arthur Drexler (of New York's Museum of Modern Art) and carefully tracks the construction and reception of the landmark building's image within American consumer culture. Although Mies demanded that art grow out of the immanent forces of its time, he was ultimately sorrowful that cultural and economic forces made his design vocabulary the lingua franca of postwar commercial architecture. The author situates this landmark building in a manner that complicates our reading of its importance both to the field of architectural history and to the career of Mies van der Rohe.</jats:p
- …
