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Labor of Luxury: The Art of Embroidery from India to the World
No full textPhotograph of two platforms featuring sequin designs and jewel-tone garments by Dries Van Noten, Todd Oldham, Alice + Olivia, ASHISH (Ashish Gupta), Manish Arora, and Oscar de la Renta mounted at NorthPark Center in Dallas
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
TourismNLGModels
No full textThese are mT5 and mBART models trained on tourism related data from the TourismNLG benchmark.
Please cite our work if you use these models.
Sahil Manoj Bhatt, Sahaj Agarwal, Omkar Gurjar, Manish Gupta, Manish Shrivastava. TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain. 45th European Conference on Information Retrieval (ECIR). Apr 2-6, 2023. Dublin, Ireland. </p
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data
No full textDiscriminative patterns can provide valuable insights into datasets with class labels, that may not be available from the individual features or predictive models built using them. Most existing approaches work efficiently for sparse or low-dimensional datasets. However, for dense and high-dimensional datasets, they have to use high thresholds to produce the complete results within limited time, and thus, may miss interesting low-support patterns. In this paper, we address the necessity of trading off the completeness of discriminative pattern discovery with the efficient discovery of low-support discriminative patterns from such datasets. We propose a family of anti-monotonic measures named SupMaxK that organize the set of discriminative patterns into nested layers of subsets, which are progressively more complete in their coverage, but require increasingly more computation. In particular, the member of SupMaxK with K = 2, named SupMaxPair, is suitable for dense and high-dimensional datasets. Several experiments on a cancer gene expression dataset demonstrate that there are low-support patterns that can be discovered using SupMaxPair, but not by existing approaches, and that these patterns are statistically significant and biologically relevant. This illustrates the complementarity of SupMaxPair to existing approaches for discriminative pattern discovery. The codes and dataset for this paper are available at http://vk.cs.umn.edu/SMP/.Fang, Gang; Pandey, Gaurav; Wang, Wen; Gupta, Manish; Steinbach, Michael; Kumar, Vipin. (2009). Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215798
The relationship between psychological capital and turnover intention: work engagement as mediator and work experience as moderator
No full textThis study examines the mediating role of work engagement, and the moderating role of experience with the current
organization, in the relationship between psychological capital and intention to turnover. The questionnaires was sent to
a sample consist of 217 employees working in diverse industries in service sector. The results from Structural Equation
Modeling indicate support for the mediating role of work enggagement, but not the moderating role of work experience.
This suggests that psychological capital is a distant precursor of intention to turnover and affects it indirectly through
work engagement. Practical implications and directions for future research have been discussed in detail
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