306,045 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Analysing the Environmental Content of Financial Analyst Reports by developing an ESG Framework that incorporates Business Opportunities and the Product Perspectives
No full textUnlike most previous research that merely looks at the perceptions of analysts, this report examines the environmental information financial analysts actually use in their analyst reports. Out of almost 4,500 analyst reports about 36 percent contain environmental information, varying between 3 to 79 percent depending on industry sector where, in general, analyst reports in sectors with more severe environmental aspects to a larger degree contain environmental information. The type of environmental information that the analysts foremost focus on in their reports are on how firms’ products and product portfolios are adopted to Environmental regulations facing customers/markets, Customer demands and Eco-Efficiency. This product perspective is strongly related to discussions of business opportunities of the firm. In fact, a good 77 % of the financial analyst reports containing environmental information dealt with opportunities linked to environmental aspects. To a lower extent, financial analysts write about company specific risk issues like emissions and litigation. The financial analyst reports, furthermore, practically lacks environmental preparedness aspects – like environmental strategies, policies, management systems, reporting and auditing – that are core issues of the ethical and SRI analyses. The financial analysts, hence, focus on different environmental aspects than the ethically specialised analysts. For analysing the environmental content in the analyst reports in this study an ESG framework was developed that, unlike previous research, also detects the environmental performance in the product dimension.Financial Analyst Reports; ESG Framework; Environmental Information; Responsible Investments; Business Opportunities; Product Perspectives
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Summary of Dissertation Recitals Two Programs of Vocal Music and an Operatic Role
No full textTwo vocal recitals and an operatic role were performed in lieu of a written dissertation.
The repertoire for these performances was chosen to demonstrate mastery of a wide range of styles and languages within the classical vocal literature. The first recital, Of Love & Nightingales, juxtaposed two nineteenth-century song cycles from France and Germany. The second performance was the role of Papageno in Wolfgang Amadeus Mozart’s Die Zauberflöte. Sung in German with English dialogue, this role required a mastery of stagecraft in addition to strong vocal ability and proficiency in both languages. The final recital, Krik, Krak: Stories of Africa & the New World explored folk song, art song, folk tales, and poetry about Africa and the African Diaspora in North and South America. The program traced a link between the music and the international Négritude Movement and the American Harlem Renaissance.
Monday, November 18, 2013, 8:30 p.m., Faber Piano Institute, Ann Arbor. Nicholas Shaneyfelt, piano, Jennifer Berg, violin, Jamie Davis, cello, Caroline Hart, violin, Edward Ryan, viola, Amy Petrongelli, narrator. Gabriel Fauré “Mandoline,” “En sourdine” from Cinq mélodies de Vénise, opus 58, La bonne chanson, opus 61; Heinrich Heine “Prologue” from Lyriches Intermezzo; Robert Schumann Dichterliebe, opus 48.
Friday, March 28, 2014, 8:00 p.m. and Sunday, March 30, 2014, 2:30 p.m., Lydia Mendelssohn Theater, The University of Michigan. Martin Katz, conductor. Kay Walker Castaldo, director. Wolfgang Amadeus Mozart Die Zauberflöte, KV 620. Role performed: Papageno.
Sunday, May 4, 2014, 8:00 p.m., Stamps Auditorium, Walgreen Center, The University of Michigan. Lydia Qiu, piano, Brittany DeYoung, harp, Ruby Brallier, cello, Melissa-Kay Grey, flute, Veena Kulkarni, piano, Lonnie Reed, tenor, Xavier Verna, marimba, Lunise Jules Cerin, narrator. Timothy Peterson “Ton soir, mon soir”; Lunise Jules Cerin Taza; Jean Bernard Cerin “Wangolo”; Jean Ronald Lafond “Ague Ta Royo”; Heitor Villa-Lobos “Estrela é lua nova,” “Xângo” from Canções típicas Brasileiras, W158; Maurice Ravel “Aoûa,” “Il est doux” from Les chansons Madécasses, M. 78; Xavier Montsalvatge Cinco canciones Negras; Margaret Bonds “Joshua Fit the Battle of Jericho,” “He’s Got the Whole World in His hands”; Moses Hogan “Deep River,” “Were You There?”Doctor of Musical Arts (DMA)Music: PerformanceUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/147475/1/jbcerin_1.pd
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
No full textThis work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
No full textWe describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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