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Record W4385836878 · doi:10.1515/jlt-2023-2010

Network Analysis in Literature and the Arts: Rethinking Agency and Creativity

2023· article· en· W4385836878 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Literary Theory · 2023
Typearticle
Languageen
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsEpistemologySociologyCreativityActor–network theoryPoeticsArgument (complex analysis)IntertextualityAgency (philosophy)CriticismSubject (documents)AppropriationAestheticsPoetryVisual artsArtSocial scienceComputer sciencePhilosophyLiteraturePsychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract The essay proposes to think of the creative subject as an actor in a network, that is, following Bruno Latour, as a »moving target of a vast array of entities swarming toward it« (Latour 2005, 46). It explores what it means to bring a network analysis to lectures on poetics by employing both a structuralist visualization informed by a computational method and a sociological method according to Latour’s Actor-Network-Theory (ANT). ANT is used to make traceable what with Hugh Kenner is called »elsewhere communities« consisting of spirits and minds along with objects and spaces. This serves to defend a method of criticism that is not oriented towards unearthing deep textual meanings, but which foregrounds the arts’ relatability and potential for provoking association and attachments. Network analysis in the arts and humanities, so goes the argument, has the potential to be much more than a formalist description of connections made. It offers means for detecting the implicit and explicit presences of a variety of different actors in or relating to works of art and challenges us to move beyond established analytical categories such as intertextuality and intermediality by opening the inquiry to a wider diversity of actors and to redefine our understanding of creativity. The article focuses on networks that emerge in lectures in which renowned artists from around the world share with general audiences their views on work processes, motivations to create, and artistic self-understandings. These are known as Poetikvorlesungen in Germany, Austria, and Switzerland, but do not have a distinct label outside of the German-speaking literary scene. The article departs from the observation that making connections and forming artistic associations are key components of these lectures as this feature can be found frequently. It first outlines genre characteristics of lectures on the arts with particular focus on networks that such lectures participate in. Emblematic examples are the Frankfurt Lectures on Poetics by the German novelist Daniel Kehlmann (given in 2014) and the Tanner Lectures by the Canadian writer and critic Hugh Kenner (given in 1999). Kehlmann depicts his artistic influences, sources of inspiration, and references to existing contexts by pretending to summon spirits, a rhetorical gesture akin to a necromancy. Kenner calls networks that evolve from making such connections »elsewhere communities«. The essay explores what a network-oriented analysis of this genre could look like by turning to the Norton Lectures by the German filmmaker Wim Wenders (given in 2018). These serve to test two different analytical approaches. The article relies both on network visualization and on tracing of networks according to Actor-Network-Theory (ANT). The article thus offers both a graphic representation of references from Wenders’ lectures and a textual tracing of associations according to the methodology outlined by Latour. An important finding is that network analysis, no matter its method, offers exciting opportunities in revealing the significance of relations and associations. Network analysis challenges literary scholars to revisit and rethink intertextuality, intermediality, or intersubjectivity and invites them to unearth a new diversity of actors. The article argues that graphic visualizations done with computational methods can be instrumental in the immediacy with which they communicate findings, especially when it comes to findings from a large corpus. The article then moves on to explore the nuances and theoretical implications that ANT offers in addition to the network visualization. A major appeal of ANT is, so the argument, that it offers insight into processes that are central to literary criticism: translation, mediation, and the evolving dynamics that stem from them. Since lectures on poetics are located at the intersection of artistic creation, authorial self-presentation, and criticism, they offer a particularly good window into the interactions of poiesis and aesthesis , of creative work and its dependency on the reception of other artworks. The argument concludes by suggesting that network analysis invites theorists to reconceptualize reader-response theory toward what scholars call comparative media studies. Finally, the article briefly considers lectures on the arts not as objects of criticism, but as a blueprint for scholarship that looks to re-envision literary criticism and its engagement of the reading public.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.273
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it