Bibliographic record
Abstract
Vernacular Inscription was an exhibition curated by artist and illustrator John Hewitt at the Nickle Arts Museum in Calgary. The exhibition was inspired by an article titled 'Comic Relief' written by the international artist and writer Mark Hampson in Printmaking Today Vol. 10 No. 4 that explored the ideas behind Vernacular Inscription, the relevant research for this outcome was reviewed in this article and appeared alongside an image of one of the works. John Hewitt was Senior Lecturer in Printmaking at the Royal College of Art. The exhibition included eminent artists such as Chris Orr RA, Peter Lloyd and Adam Dant. The work that Oran O’Reilly produced for this exhibition was influenced by satirical cartoon and caricature. The research for this exhibition included exploration of traditional and contemporary print processes that would best define the lineage of comic narrative. The work culminated in 3 large-scale pieces of work (60 in x 40 in). The resulting pieces explored the relationship between reality and imagination and reviewed current political and social themes. The exhibition was reviewed on the online magazine 'The Gauntlet' by Diana Olowa, on April 4th 2002. As a result of this exhibition Oran was invited to contribute to the Royal College of Art publication entitled ‘War’ in 2003, ISBN 1-874175-98-5. He was also later asked to write an article for the international arts magazine ‘Miser and Now’ about the curator of Vernacular Inscription, John Hewitt. This appeared under the title ‘Provincial Societies’ Issue 4, 2004, alongside other contributors such as Gordon Cheung and Danny Rolph.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.147 | 0.043 |
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".