1,720,963 research outputs found
Anne Kolbe (ed.), LITERACY IN ANCIENT EVERYDAY LIFE
No full textLiteracy In Ancient Everyday Life results from a conference held in 2016 at the University of Zürich. The main purpose of the book is to investigate the significance of literacy throughout the ancient world, giving the most comprehensive perspective possible: a daunting task considering the many variables intrinsic to the subject. The volume offers a broad geographical and chronological frame in which the different types of writing materials and aspects of social life are contextualised and investigated; however, the focus is primarily on the Roman world. The geographical span is much wider — some might even say too wide, considering how difcult it is to compare (say) Sino-Tibetan societies to those of Pharaonic Egypt. Yet the theoretical and methodological approaches followed by the different authors and the coherent overall structure of the work make this volume useful to anyone interested in literac
Medieval grammars as non-literary source for syntax: The Wiki format for terminological analyses
No full textThis paper aims at presenting the Wiki database of a current project and has a distinctly computational signature. It is a fitting complement to years of work in the study of linguistic variation, of non-classical forms of Latin, but also the infinite possibilities offered by this field of study in terms of historical linguistics and database implementation. In the specific case, we will use the metalinguistic term constructio as an example of the analytical potential offered by the WikiMedia of the SiRe project Parts of speech meet Rhetorics: Searching for syntax in the continuity between the Middle Ages and the Modern Age
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
A comparative approach of unsupervised machine learning techniques for LTE network parameter clustering
No full textThis paper presents a multivariate analysis of Long Term Evolution (LTE) cellular network physical layers parameters. Supporting a Multiple Input Multiple Output (MIMO) configuration three types of approaches were explored: partitional clustering through k-means algorithm, hierarchical clustering and density-based clustering through DBSCAN. Collected data were clustered with unsupervised blind machine learning methods. Techniques were applied on the same dataset depicting LTE radio layer quantities. Aim of the research is to find similarities among the implementation of the different cluster algorithms used to characterise the performance of the network
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