Book Reviews
Bibliographic record
Abstract
Abstract Exhibition as Social Intervention: ‘Culture in Action’ 1993, Joshua Decter, Helmut Draxler and Others London: Afterall Books (2014), 224 pp., Paperback, ISBN: 978-3-86335-448-0, US$27.50 New Collecting: Exhibiting and Audiences After New Media art, Beryl Graham (ed.) Farnham, Surrey: Ashgate (2014), 234 pp., Hardcover, ISBN: 978-1-40944-894-5, E-book, ISBN: 978-1-40944-895-2, £60.00 Show Time: The 50 Most Influential Exhibitions of Contemporary art, Jens Hoffmann London: Thames and Hudson (2014), 256 pp., Hardcover, ISBN: 978-0-50023-911-7, £29.95 The Multisensory Museum: Cross-Disciplinary Perspectives on Touch, Sound, Smell, Memory and Space, Nina Levent and Alvaro Pascual-Leone (eds) Lanham, MD: Rowman and Littlefield (2014), 384 pp., Hardcover, ISBN: 978-0-75912-354-0, US$75.00 The Armory Show at 100: Modernism and Revolution, Marilyn Satin Kushner and Kimberly Orcutt (eds) London: D. Giles Limited (2013), 512 pp., Hardcover, ISBN: 978-1-90780-404-5, US$79.95 Curious Lessons in The Museum: The Pedagogic Potential of Artists’ Interventions, Claire Robins Farnham, Surrey: Ashgate (2013), 246 pp., Hardcover, ISBN: 978-1-40943-617-1, £65.00 Self-Organised, Stine Hebert and Anne Szefer Karlsen (eds) Bergen and London: Hordaland Centre and Open Editions (2013), 168 pp., Paperback, ISBN: 978-0-94900-417-8, £17.00
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 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.633 | 0.563 |
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".