Exhibition Reviews
Bibliographic record
Abstract
Abstract LEAP BEFORE YOU LOOK: BLACK MOUNTAIN COLLEGE 1933–1957 Curated by Helen Molesworth and Ruth Erickson, organized by the Institute of Contemporary Art/Boston, Boston, 10 October 2015 – 24 January 2016. Travelling to Hammer Museum, University of California, Los Angeles, 21 February – 14 May 2016, and Wexner Center for the Arts, Ohio State University, Columbus, 17 September 2016 – 1 January 2017. HIPPIE MODERNISM: THE STRUGGLE FOR UTOPIA Curated by Andrew Blauvelt, organized by the Walker Art Center, Minneapolis, 24 October 2015 – 28 February 2016. Travelling to Cranbrook Art Museum, Bloomfield Hills, 19 June – 9 October 2016, and University of California, Berkeley Art Museum and Pacific Film Archive, Berkeley, 8 February – 21 May 2017. JESS DOBKIN, AN ARTIST-RUN NEWSSTAND Chester Subway Station, Toronto, 8 May 2015 – 28 April 2016 ELMGREEN & DRAGSET PRADA MARFA Curated by Ben Mills and Jess Carroll, Richmond-Adelaide Centre, Toronto, Scotiabank CONTACT Photography Festival, 1–31 May 2016 LIVELY OBJECTS: ENCHANTMENT AND DISRUPTION AT THE MUSEUM OF VANCOUVER Curated by Caroline Seck Langill and Lizzie Muller, Museum of Vancouver, 16 August – 12 October 2015
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 | 0.005 |
| 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 | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.593 | 0.405 |
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".