1,720,956 research outputs found
Representativeness, Domain Operationalization, and Choices in Creation of Digital Collections: a Case of Latvian Diary Corpus
No full textMaster’s thesis, guided by an overarching research question of usability of computational methods in the study of digitized collection of self-writing, is examining Latvian Diary Corpus (LDC), which was compiled in 2021 and contains 36 handwritten, digitized diaries spanning from 1917 to 2012, with a corpus size totalling 2,771,300 tokens.
The theoretical and methodological framework of the master’s thesis is situated in digital humanities, drawing on corpus linguistics approach in corpora compilation, and informed by digital curation and archival practices of cultural heritage domain. Diary, as a genre, is a part of the self-writing field, and various humanities disciplines, such as folkloristics, literary studies, and cultural anthropology, examine diary from different viewpoints.
The main body of master’s thesis is structured into an Introduction, four chapters, and Conclusions. Chapters build onto each other to discuss from different perspectives: (1) the representativeness and heterogeneity of digital collections in the humanities; (2) conceptualizations of the diary in self-writing research field and how these theoretical concepts translate into practical decisions regarding diary domain operationalization, crowdsourcing diaries from population, and methodological border cases encountered by curators in composing LDC; (3) statistical exploration of LDC and probing the correlation between diary length and four variables: time intervals between diary entries, and three linguistic features – personal pronouns, past and present tense, activity and non-activity verbs.
The results of computational analysis reveal significant variance in diaries, suggesting not only diverse writing styles of individual diarists but also structural heterogeneity within LDC. There is a reason to believe that texts in LDC, merged under the umbrella term of “diary”, contain several specific sub-genres of self-writing, each with its own distinct signature.
Starting the research by inquiring the concept of representativeness, the findings of this master’s thesis suggest that it also could be fruitful to study heterogeneous digital collections, their diversity being not a drawback, but a source of richness, which can be further leveraged by using computational methods to uncover and analyze these heterogeneities, which are then assessed by critical reading methods.
To apply computational methods on heterogeneous humanities collections with a sufficient degree of generalizability of results, the master’s thesis proposes careful domain operationalization, source criticism, and cultural analysis steps, and then, guided be the particular research question, subsetting a homogeneous sub-corpus from a larger collection of heterogenous items for computational analysis
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
No full textWe 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
Navigating the Methodological Complexities: Building a Diary Text Corpus
No full textConference Paper, Life Narrative and the Digital 202
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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