Dispossession: Storyboard, Anaphora, Rhythm and Stage in a New Graphic Adaptation of Anthony Trollope’s 1878-79 Novel 'John Caldigate'.
Bibliographic record
Abstract
IAWIS/AIERTI Conference Dundee 2014 Session Proposal: Dr Simon Grennan, University of Chester (simon.grennan@zen.co.uk) Individual Papers Panel Session Theme: Visual Literacies / Literary Visualities (in the Digital Age) Session Title: ‘Graphic adaptation and historic literary fiction: re/vision, remediation and discovery.’ Although comic strip adaptations of historic literary fiction are commonplace, in the great majority they have been historically motivated either by pedagogy or by hagiography. The pedagogic approach assumes that narrative drawing is more accessible to children than text. The hagiographic approach assumes that the source text is an original to which adaptations must aspire by overcoming the limits imposed by their own media Increasingly, a number of comic strip adaptations of historic fiction have appeared to interrogate the process of adaptation from literary text to narrative drawing itself, turning the adaptation process into a method of enquiry into some of the central issues of both remediation, narrative drawing and historiography: the relationships between specific texts and new images and concepts of authenticity, record and narrative voice relative to history. Such approaches to the adaptation of historic novels make visible the ways in which the process of adaptation itself engenders a fuller understanding of historic texts and their production. Frequently, they visibly manipulate the reading experience through techniques of juxtaposition, anachronism and visual revision, prompting reflections upon the impact of diverse media on the practice of history, for example: Marcel Broodthaers 1969 ‘Un coup de dés jamais n’abolira le hansard’, Dino Battaglia’s adaptations of Maupassant stories and Catherine Anyango’s 2010 ‘Heart of Darkness’. This session will aim to focus in detail upon a) both the technical processes of adaptation, or the ways in which new technologies inform the development of approaches to historic texts, and b) upon the conceptual strategies and rationales of adaptors. As a related topic, it will also hope to discuss current trends in the understanding of the roles of contemporaneous illustration in historic literary fiction. The session’s central questions and consequent call for papers will focus upon i) comic strip adaptation’s rationalisation of visual equivalents for literary narrative voices, ii) upon the influence of moving image conventions on storyboards, points of view, pace and information management and iii) upon conceptions of time revealed in contemporary adaptations of nineteenth century novels in particular. Confirmed individual presenters: Professor Jan Baetens (KU Leuven) Dr Simon Grennan (Chester University) Frederik Van Dam (KU Leuven) Expressions of interest in the call for individual session papers has been made by: Emeritus Professor David Skilton (Cardiff University) Peter Wilkins (Douglas College, Vancouver) Dr Ian Hague (Comics Forum) A further call for individual session papers will be made.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".