Bibliographic record
Abstract
7th BERLIN BIENNALE: FORGET FEAR Curated by Artur Żmijewski in collaboration with associate curator Joanna Warsza and the art collective Voina, presented at the KW Institute for Contemporary Art and other venues (27 April-1 July 2012), Berlin PRETERNATURAL Curated by Celina Jeffery, Canadian Museum of Nature (9 December 2011-4 March 2012), St. Brigid's Centre for the Arts (10 December 2011-17 February 2012), and Patrick Mikhail Gallery (4 January-7 February 2012), Ottawa U-N-F-O-L-D: A CULTURAL RESPONSE TO CLIMATE CHANGE Curated by David Buckland and Chris Wainwright, Anna-Maria and Stephen Kellen Gallery, Parsons The New School for Design, New York (30 September-15 December 2011). An exhibition first shown at the University of Applied Arts, Vienna (18 May-8 June 2010) and traveling to seven locations, most recently at Liverpool John Moores University, Liverpool (8 March-26 April 2012).
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.616 | 0.403 |
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".