Codex Event 8: An Australian and British Collaboration of pulp-printing, installation and artists’ books with Sarah Bodman, Paul Laidler, Tim Mosely, Monica Oppen and Tom Sowden 2011-2012
Bibliographic record
Abstract
A co-authored article by all the artists for Imprint journal, Australia, September 2012.Sarah Bodman and Paul Laidler from the Centre for Fine Print Research (CFPR) at UWE, Bristol, UK joined Tim Mosely in Brisbane at Queensland College of Art (QCA, Griffith University, Brisbane ) after the Impact 7 Multi-disciplinary Printmaking Conference in Melbourne in October last year. Tom Sowden and Monica Oppen collaborated by sending instructions from (CFPR) Bristol and Sydney respectively. Our brief was to explore the concepts of the urban jungle, based on Deleuze and Guattari’s theories of smooth and striated space in their publication A Thousand Plateaus. The striated was to be the instructional signs we assimilate and obey each day as we pass through any city, “don’t walk, walk, do not enter, exit, stay behind the line, go back” etc. The smooth was to remove the control, and think of space in the way that the Inuit see their surroundings on an even, unbroken white horizon of snow, or the way that nomads travel without constraint in the desert landscape. For Codex Event 8, to smooth was to bring the jungle into the urban.As well as the article in Imprint, a full report can be viewed online:http://www.bookarts.uwe.ac.uk/codex8_sb12.htm
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.101 | 0.013 |
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".