Bibliographic record
Abstract
REF Output Descriptor:ExhibitionThis exhibition brings together the work of internationally recognised artists and illustrators from around the world working in Graphic Novel form. Spanning publications from the early twentieth century to the present day, the works contained in the exhibition are distinct in that all use the capacity of images alone to communicate narrative, functioning entirely without the use of text.The exhibition celebrates the book form and in particular the Graphic Novel as an increasingly popular medium for artists and explores its enduring appeal to readers of all ages. By focussing on works without text it examines the underlying structure and mechanics of developing a Graphic Novel, exposing it as a unique art form. It looks at the Novel in the true sense, as an extended sequence conveying a narrative. The show includes preparation and working drawings, writings, flat plans, sketch books and character studies and associated works alongside complete book-works to reveal the various development stages in creating a Graphic Novel.The exhibition combines works from a wide range of cultural contexts, from modern popular Graphic Novels, with scratchboard images by Eric Drooker produced for his novel ‘Flood’, to woodcuts by Frans Masereel for his 1925 work ‘Die Stadt’, to original drawings by Sara Varon for her well loved books, ‘Sweater Weather’ and ‘Robot Dreams’. Also in the show will be a large scale flat-print version of ‘A-Z’ by Lars Arrhenius, a novel produced on the iconic A-Z map of London. Shown in print form it allows the viewer to scan the intersecting narratives sewn through the map in a single image, creating ever new readings.Works for the exhibition have been loaned to The Collection from the British Museum, Moderna Museet, Stockholm, Klinspor Museum, Offenbach, Scott Eder Gallery, New York, www.beguiling.com, Toronto, and from the exhibiting artistsEssays to accompany the show were produced by David A. Berona , Dr. Chris Mullen and Phil Beard.Silent Witnesses; Graphic Novels Without Words was supported by Arts Council England and Lincolnshire County Council.vents aimed at children and adults were run to coincide with the exhibition includingworkshops and talks notably by Paul Gravett whose writing and commentary on the graphic novel form is internationally respected.The show was listed and commented on in Guardian guide Saturday 5 June 2010.http://www.guardian.co.uk/artanddesign/2010/jun/05/this-weeks-new-exhibitions?INTCMP=SRCHExtract from ‘Reader Development’ document produced by Lincoln County Council:‘This exhibition at The Collection in Lincoln attracted 5,283 visitors between June and August 2010.In the exhibition there were books to browse through and a trail and drawing activity for children. Activity days for children and young people including Magic Manga Day, Cosmic Comics Dayand a Graphic Novel Day, were all well attended. Curator and writer Paul Gravett gave aninformative talk for adults. At the events visitors were able take out library membership. The show received a listing in the Guardian’s Top 5 exhibitions and write ups in The Lincolnshire Echo. Reaction to the exhibition demonstrated that graphic novels are not just for enthusiasts but have a much broader appeal.’ http://www.liem.org.uk/documents/Reader development - Linconshire.pdf
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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.135 | 0.019 |
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".