1,720,953 research outputs found
Truth, Not Accuracy: Native American Fiction vs. White Settler Colonialism
For centuries, depictions of Native American culture have largely been constructed by White authors and have thus reflected white settler colonialist ideology. This paper suggests that one way to counter this point of view when studying Native American history is to turn to fiction, specifically fiction written by Indigenous authors. Taking as an example Ojibwe author Louise Erdrich’s Plague of Doves, a novel based on the real-life massacre of a frontier family in the late nineteenth century, this paper argues that the creative fiction of Indigenous authors can counter the biased, incomplete, and often incorrect official histories of White–Native interactions. In February 1897 in North Dakota, the Spicer family were brutally murdered in their home; almost immediately, Native American men were suspected, and several were soon taken into custody and charged with the crime. When one of the accused had his conviction overturned and was granted a new trial by the state, a mob of White men stormed the jail where the Native men were being held, forcibly removed them, and lynched them. Although the guilt of these men was widely accepted by the White community, the ones who confessed and implicated other Native men changed their stories over time, and the man who had been granted a new trial never wavered in his declaration of innocence. Erdrich’s reimagining of this tragedy lays bare how White greed and racism play into the determination of guilt, and it offers an alternative version of the murders. Although Erdrich’s novel is fictional, it illustrates how White prejudice and colonialist mentality can produce a historical narrative that is “official” but not a reflection of the truth. Ironically, fiction written by Native American writers can provide accounts of White–Native conflicts that are more truthful than traditional historical accounts produced by White settler discourse
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
The Use of Native American Literature for Teaching Native American History
hite historians, schools, and writers have produced works that teach inaccurate and biased subjects that surround Native American history and culture. While most of this inaccurate and racist writing comes from the nineteenth and twentieth centuries, Indigenous authors, both past and present, have written works that have the potential to give more historically accurate and thorough representations of their people and culture. This thesis examines three novels written by Indigenous authors to argue for using Native American fiction to correct misrepresentation of Native culture by white writers. In contrast to both novels and histories written by white people, Native American fiction can give a more accurate picture of U.S. history. This may look like a contradiction--using fiction to teach fact--but Native American novels are often correcting historical facts written by white historians that are actually fictions or at the very least biased points of view
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
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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