1,720,959 research outputs found
My girl : a novel, the first twelve chapters
Ginny Moore is seventeen in the winter of 1950 when she gets hit by a car in a freak accident, resulting in the amputation of her legs from the knees down. The accident sets the scene for the novels' themes to expand and interact: Ginny must come to terms with living her life disabled, losing her dream of winning a math scholarship and attending university, and whether her faith in God is inherited or inherently her own.
The small Virginian town in which she lives still deals with the emotional and physical scars of WWII. Due to her injuries, Ginny starts identifying with local veteran Raymond Bennet, believing he's the only one who can really understand how she feels, despite all she hears pointing to the contrary. Additionally, she's blind to her father's potential to help her through her trauma. She idolizes him but fails to see his struggle with depression from his experiences as a soldier during WWI, and how she could relate to him on a deeper level.
Chapters One through Twelve set the groundwork for the climax and falling action in the ensuing chapters. Ginny’s existing relationship with her mother and long-time friend Sandra are tested, her new relationship with crush Bobby is overshadowed by Sandra, and Nurse Wallace—the only person who treats Ginny normally—leaves. The sudden, climatic, death of her father brings all these relationships to a crisis point and compels Ginny to examine the realities of her beliefs and whether she'll trust in herself or God
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
LOVEBUG
LOVEBUG is a book of nonfiction concerned with how we think and speak about infection,
and what it means to be infected or parasitised by someone or something. Although this strikes a particular chord in the present moment, LOVEBUG was conceived of prior to the global pandemic, and is the outcome of my doctoral research into zoonotic diseases (those passed from animals to humans), begun in 2016.
In Illness as Metaphor Susan Sontag railed against the military metaphor in relation to disease and infection. Since then, this metaphorical ‘war’ on germs and microbial life seems to have become even more engrained. Partly written as a response to Sontag’s essay, from my own position as a poet and novelist concerned with language, LOVEBUG takes the position that metaphor is foundational to the way we think and speak, and so cannot be fully removed from language. If, as Sontag asks, we do away with the military metaphor, our need for metaphorical understanding will shift elsewhere.
This ‘elsewhere’ is exactly the metaphorical and interdisciplinary space that LOVEBUG seeks to inhabit. Rather than depicting microbial life as a mob of invisible enemies, the book considers infection from the perspective of intimacy, as an antagonistic relationship that has evolved between organisms. What does it mean to make a home inside of another being? Is parasitism a fixed biological state, or are all organisms – including humans – capable of this behaviour?
In a time of climate crisis, and increased circulation of pathogens around the world, addressing this paradox from a variety of perspectives – resisting the binary view of C.P. Snow’s infamous ‘Two Cultures’ of the sciences and the humanities – becomes essential. LOVEBUG moves between disciplines to reach towards a more nuanced, and ecologically-informed view of whatit means to live in a world beyond our control, and how to dwell alongside what may harm us
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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