196,008 research outputs found
Artistic Visual Storytelling
This directory contains the necessary files for the Artistic Visual Storytelling task. For a short dataset description, please, read the README.md.
Import note: The Artistic Visual Storytelling dataset can be used only for non-commercial academic research purposes.
If you use this dataset, please cite it as below:
Efthymiou, A.; Rudinac, S.; Kackovic, M.; Worring, M.; Wijnberg, N.M. (2023): Artistic Visual Storytelling. University of Amsterdam / Amsterdam University of Applied Sciences. Dataset. https://doi.org/10.21942/uva.20050970.v2</p
Artistic Visual Storytelling
This directory contains the necessary files for the Artistic Visual Storytelling task. For a short dataset description, please, read the README.md.
Import note: The Artistic Visual Storytelling dataset can be used only for non-commercial academic research purposes.
If you use this dataset, please cite it as below:
Efthymiou, A.; Rudinac, S.; Kackovic, M.; Worring, M.; Wijnberg, N.M. (2023): Artistic Visual Storytelling. University of Amsterdam / Amsterdam University of Applied Sciences. Dataset. https://doi.org/10.21942/uva.20050970.v1</p
Artistic Visual Storytelling
This directory contains the necessary files for the Artistic Visual Storytelling task. For a short dataset description, please, read the README.md.
Import note: The Artistic Visual Storytelling dataset can be used only for non-commercial academic research purposes.
If you use this dataset, please cite it as below:
Efthymiou, A.; Rudinac, S.; Kackovic, M.; Worring, M.; Wijnberg, N.M. (2023): Artistic Visual Storytelling. University of Amsterdam / Amsterdam University of Applied Sciences. Dataset. https://doi.org/10.21942/uva.20050970.v2</p
Artistic Visual Storytelling
This directory contains the necessary files for the Artistic Visual Storytelling task. For a short dataset description, please, read the README.md. Import note: The Artistic Visual Storytelling dataset can be used only for non-commercial academic research purposes. If you use this dataset, please cite it as below: Efthymiou, A.; Rudinac, S.; Kackovic, M.; Worring, M.; Wijnberg, N.M. (2023): Artistic Visual Storytelling. University of Amsterdam / Amsterdam University of Applied Sciences. Dataset. https://doi.org/10.21942/uva.20050970.v
Third-party signals and sales to expert-agent buyers: Quality indicators in the contemporary visual arts market
This paper builds on a fine-grained longitudinal dataset detailing 22 years of contemporary visual art sales to corporate collectors. We focus on expert buyers who act as agents for the art collecting organizations who employ them. Our major findings show that third-party indicators of quality - reviews, awards, and gallery affiliations that have been received by visual artists over time - are positively related to sales. Moreover, this relationship persists far beyond the time when the signals were first conveyed. These results are interesting because compared to ordinary consumers, these expert buyers are assumed to make purchase decisions based on their professional knowledge of contemporary visual art that enables them to recognize quality that is only obvious to a trained "eye." However, we show that simple indicators of quality based on third-party signals strongly influence them. Our findings provide a much-needed understanding of the mechanisms guiding expert-agent buyers' purchase decisions, particularly in markets with high uncertainty about quality and high levels of innovation. We argue that third-party signals influence these expert-agent buyers because they prefer to make purchase decisions they can readily defend
Dr. Duane M. Jackson, Morehouse College, July 2011
This video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
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
Dr. Glendon Swarthout
Hosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
Observable persuaders: A longitudinal study on the effects of quality signals in the contemporary visual art market
Information about the quality of producers or products has strategic value and affects economic decisions. But what happens in markets with informational gaps because quality is difficult to observe directly and objective criteria to make quality judgments are lacking? Quality that is indiscernible or indeterminate or latent means to a large extent that it remains unknown to all parties involved in the transaction or even thereafter. Signals – e.g., reviews, awards, prestigious affiliations, past sales – may act as observable persuaders and reduce uncertainty caused by informational imperfections. At the same time, signals may shape future perceptions buyers and intermediaries have about those producers, and this may lead to a competitive advantage for a select few. Effectively, even seemingly inconsequential rewards or benefits gained by being the subject of a signal may grant some producers access to opportunities not given to others. Such preferential treatment could lead to superior performance that could start self-reinforcing feedback mechanisms, which could result in persistent performance for some producers compared to the rest. In the empirical setting of the primary market for contemporary visual art, the career trajectories of 1,590 visual artists from two prestigious art institutions in the Netherlands are studied. A multi-dimensional approach is taken in analyzing quantitative characteristics of signals and qualitative attributes of sources conveying those signals, and examining these effects on not only different categories of buyers and intermediaries but also in the context of the particular career phase of the producers. The empirical results show strong self-reinforcing processes governing competitive dynamics, offering a fine-grained understanding of a source of inequality in the distribution of success in this market where quality differentials among competing producers are imperfectly observable, information about their underlying quality is imperfect and/or incomplete and objective measures for evaluation are lacking
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