The canonization of German-language digital literature

In his paper, "The Canonization of German-language Digital Literature," Florian Hartling discusses "Net Literature," a relatively young phenomenon, that has its roots in experimental visual and concrete poetry and hypertext. With the use of new media technology, this new genre of literature has acquired much interest and is now considered to be one of the most important influences in contemporary art. Not only does Net Literature connect sound, video, and animation with interactivity and allows new forms of artistic expression, it also impacts significantly on the traditional functions of the literary system. Hartling suggests that, in relation to Net Literature, the notion of the "death of the author" gives birth to the "writing reader." Hartling presents the results of his study where he applies the concept of "canon" to German-language Net Literature and where he attempts to find out whether, in this new form of literature, a "canon" has already been formed. Based on Karl Erik Rosengren's framework of "mention technique," a sample of Germanlanguage reviews of Net Literature was analyzed. The study intends to test the applicability of Rosengren's method to the analysis of Net Literature, that is, whether it is valid to use a method that was originally developed for the empirical study of the traditional literary canon for the study of an emergent Net Literature

Macalester College Bulletin

This publication is the Macalester College Bulletin, 1975-76 Supplement. Annual college catalog listing courses of study, historical sketch, calendar, honorary degrees, admission requirements, descriptions of departments, lists of faculty and board of trustee committees, summary of students, and lists of faculty and trustees

Graduate Catalog, 1986-1987

https://scholar.valpo.edu/gradcatalogs/1014/thumbnail.jp

Graduate Catalog, 1990-1991

https://scholar.valpo.edu/gradcatalogs/1018/thumbnail.jp

Computer-Aided Palaeography, Present and Future

The field of digital palaeography has received increasing attention in recent years, partly because palaeographers often seem subjective in their views and do not or cannot articulate their reasoning, thereby creating a field of authorities whose opinions are closed to debate. One response to this is to make palaeographical arguments more quantitative, although this approach is by no means accepted by the wider humanities community, with some arguing that handwriting is inherently unquantifiable. This paper therefore asks how palaeographical method might be made more objective and therefore more widely accepted by non-palaeographers while still answering critics within the field. Previous suggestions for objective methods before computing are considered first, and some of their shortcomings are discussed. Similar discussion in forensic document analysis is then introduced and is found relevant to palaeography, though with some reservations. New techniques of "digital" palaeography are then introduced; these have proven successful in forensic analysis and are becoming increasingly accepted there, but they have not yet found acceptance in the humanities communities. The reasons why are discussed, and some suggestions are made for how the software might be designed differently to achieve greater acceptance. Finally, a prototype framework is introduced which is designed to provide a common basis for experiments in "digital" palaeography, ideally enabling scholars to exchange quantitative data about scribal hands, exchange processes for generating this data, articulate both the results themselves and the processes used to produce them, and therefore to ground their arguments more firmly and perhaps find greater acceptance

Stylistic gender patterns in fiction: a curricular concern

This dissertation presents a method of identifying gender patterns (rhetorical patterns of style assigned by gender) in fiction. This identification is accomplished by studying the personal speech or primary rhetoric of fictional characters using syntactic and semantic variables that make up COMP STYLE, a package of computer programs designed by Rosanne G. Potter, Iowa State University. Among other functions, the COMP STYLE programs enable a user to accurately classify simple syntax in the dialogue of characters in fiction through the counting and sorting of the following variables: questions, imperatives, exclamations, pauses, fragments hypotheticals, definitions, negatives, universals, adverbs, and comparisons;The data field--the population studied--includes the dialogue from three novels by Henry James, Daisy Miller, The Portrait of a Lady, and The Bostonians, and the major novel of Kate Chopin, The Awakening. Two characters from each of the novels--the heroine and the male who most frequently interacts with her--function as specific subjects. The hypothesis is twofold: the dialogue of male characters reveals a gender pattern that denotes strength and power; the dialogue of female characters reveals a gender pattern that denotes polite and uncertain speech;James\u27s works support both hypotheses; Chopin\u27s novel exhibits variation in the first hypothesis, but supports the second hypothesis. The stylistic evidence from all the novels in this study support the conclusion that linguistic strategies do contribute to character definition and, in all probability, affect reader response, although this has not been tested emperically here;Gender patterns can be identified by rhetorical methods because they are embedded in language. Moreover, this language is not just the language by which characters in fiction are defined, but the language with which real people define gender roles, values, and acceptable behavior; the language with which teachers teach and students learn. Identifying gender patterns in language can be a positive step in creating a social reality where communication is neither marked by gender, nor limited by stereotype

Comparing Grounded Theory and Topic Modeling: Extreme Divergence or Unlikely Convergence?

Researchers in information science and related areas have developed various methods for analyzing textual data, such as survey responses. This article describes the application of analysis methods from two distinct fields, one method from interpretive social science and one method from statistical machine learning, to the same survey data. The results show that the two analyses produce some similar and some complementary insights about the phenomenon of interest, in this case, nonuse of social media. We compare both the processes of conducting these analyses and the results they produce to derive insights about each method\u27s unique advantages and drawbacks, as well as the broader roles that these methods play in the respective fields where they are often used. These insights allow us to make more informed decisions about the tradeoffs in choosing different methods for analyzing textual data. Furthermore, this comparison suggests ways that such methods might be combined in novel and compelling ways

THE RELATIONSHIP BETWEEN SOFTWARE PROTECTION AND PIRACY: EVIDENCE FROM EUROPE

piracy, enforcement, panel data, copyright

Graduate Catalog, 1992-1993

https://scholar.valpo.edu/gradcatalogs/1020/thumbnail.jp