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Through a contrastive comparison between the classic detective Sherlock Holmes and contemporary research agencies such as Forensic Architecture, this paper examines a recent shift in the "evidential paradigm" (Ginzburg). Based on the role that the "evidential paradigm" plays for critical literary and cultural studies, the state-supporting positivism of Sherlock Holmes is distinguished from the state-critical constructivism of Forensic Architecture: Whereas Holmes conceived of the trace as a positive datum, in Forensic Architecture's virtual investigations it becomes an emergent from data. However, this juxtaposition needs to be differentiated when critically examining the "aesthetics of objectivity" (Charlesworth) of the animated videos Forensic Architecture use to present their findings. The essay closes by asking what conclusions can be drawn from the new forms of knowledge generation for the methodology of literary and cultural studies.
If one thing can be learned from the recent boom in the apparently 'new' field of the 'history of the humanities', it is that, especially in the humanities, the history of an academic discipline is never mere history, because the research questions that inaugurate a discipline continue to subsist at its foundations. Knowledge in the humanities, it seems, develops differently. In many fields, 'progress' is far less linear than in the natural sciences; indeed, research programmes may shuttle back and forth between different epochs, with interpretations of the past continually shedding new light upon the present.
This paper is the report of a study conducted by five people – four at Stanford, and one at the University of Wisconsin – which tried to establish whether computer-generated algorithms could "recognize" literary genres. You take 'David Copperfield', run it through a program without any human input – "unsupervised", as the expression goes – and ... can the program figure out whether it's a gothic novel or a 'Bildungsroman'? The answer is, fundamentally, Yes: but a Yes with so many complications that it is necessary to look at the entire process of our study. These are new methods we are using, and with new methods the process is almost as important as the results.
There has been a great deal of uproar about Darwinian approaches in literary scholarship. Statements range from enthusiastic prophecies of a new paradigm for literary studies to acrimonious scoldings of reductionism. Believing that the major challenge is first to find good questions to which evolutionary psychology might provide us with good answers, I outline and critically assess different veins of argumentation as revealed in recent contributions to the field. As an alternative to some simplistic mimeticism in present Literary Darwinism, I put forward the idea of evolutionary psychology as a heuristic theory that serves to resolve defined problems in interpretation and literary theory.
In the last few years, literary studies have experienced what we could call the rise of quantitative evidence. This had happened before of course, without producing lasting effects, but this time it’s probably going to be different, because this time we have digital databases, and automated data retrieval. As Michel’s and Lieberman’s recent article on "Culturomics" made clear, the width of the corpus and the speed of the search have increased beyond all expectations: today, we can replicate in a few minutes investigations that took a giant like Leo Spitzer months and years of work. When it comes to phenomena of language and style, we can do things that previous generations could only dream of.
When it comes to language and style. But if you work on novels or plays, style is only part of the picture. What about plot – how can that be quantified? This paper is the beginning of an answer, and the beginning of the beginning is network theory. This is a theory that studies connections within large groups of objects: the objects can be just about anything – banks, neurons, film actors, research papers, friends... – and are usually called nodes or vertices; their connections are usually called edges; and the analysis of how vertices are linked by edges has revealed many unexpected features of large systems, the most famous one being the so-called "small-world" property, or "six degrees of separation": the uncanny rapidity with which one can reach any vertex in the network from any other vertex. The theory proper requires a level of mathematical intelligence which I unfortunately lack; and it typically uses vast quantities of data which will also be missing from my paper. But this is only the first in a series of studies we’re doing at the Stanford Literary Lab; and then, even at this early stage, a few things emerge.
Music
(2010)
The musical ending [of Goethe's Novelle] recalls the fascination with "music as metaphor", "the power of music", among recent and contemporary poets from Pope and Dryden and Collins to E.T.A. Hoffmann and Kleist and, of course to Goethe himself. Music saves Faust's life on Easter morning at the end of a dreadful night, and we'll encounter a similar role of music in his Trilogie der Leidenschaft which we'll read in this context.
Digital document and interpretation : re-thinking "text" and scholarship in electronic settings
(2008)
The contribution starts from outlining the evolution of the scholarly production flow from the print based paradigm to the digital age and in this context it explores the opposition of digital versus analog representation modes. It then develops on the triple paradigm shift caused by genuine digital publishing and its specific consequences for the social sciences and humanities (SSH) which in turn results in re-constituting basic scholarly notions such as 'text' and 'document'. The paper concludes with discussing the specific value that could be added in systematically using digital text resources as a basis for scholarly work and also states some of the necessary conditions for such a 'digital turn' to be successful in the SSH.
