Exhibition Reviews
Bibliographic record
Abstract
Abstract LOVE IS ENOUGH: WILLIAM MORRIS & ANDY WARHOL Curated by Jeremy Deller, Modern Art Oxford, 6 December 2014 – 8 March 2015 CHRISTIAN BOLTANSKI, ALMAS Curated by Beatriz Bustos, Museo Nacional de Bellas Artes, Santiago, Chile, 30 October 2014 – 4 January 2015 BIO 50 – 24TH BIENNIAL OF DESIGN LJUBLJANA Curated by Jan Boelen, Maja Vardjan and Cvetka Požar, Museum of Architecture and Design, Museum of Modern Art, and eighteen other locations, Ljubljana, 18 September – 7 December 2014 OLIVIER SAILLARD AND TILDA SWINTON, THE CLOAKROOM – VESTIAIRE OBLIGATOIRE Musée de la Mode de Paris Galliera, Paris, 22–29 November 2014 CENTRE FOR INCIDENTAL ACTIVISMS (CIA) #2 Orchestrated by Emelie Chhangur, Suzanne Carte, Michael Maranda and Allyson Adley, and co-organized with Maggie Flynn, Ame Henderson, Jp King and Terrarea, Art Gallery of York University, Toronto, 6 January – 2 March 2014 FISCHLI/WEISS, ROCK ON TOP OF ANOTHER ROCK Curated by Hans-Ulrich Obrist and Julia Peyton-Jones, Serpentine Galleries, London, 7 March 2013 – 30 September 2014
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.667 | 0.455 |
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".