Bibliographic record
Abstract
Gracing the walls of the David Chipperfield-designed cube at Switzerland’s Kunsthaus Zürich are works by Renoir, Van Gogh, Monet, and other high-profile artists. The collection boasts over 200 masterworks on a 20-year loan to the Kunsthaus from the E. G. Bührle Collection Foundation, valued at over ₣3 billion CHF (approximately $5 billion CAD), with the intent to draw crowds comparable to those at the most famous museums of Paris. With such an impressive and star-studded collection, the Kunsthaus should be an international cultural sensation. The reality, however, is that the museum has garnered attention for all the wrong reasons. The beauty of the collection has been overshadowed by the problematic history of its original owner, Emil Bührle, forcing both the Foundation and the Kunsthaus to reckon with the consequences of accepting such a controversial and high-profile gift. The Kunsthaus as a national museum has the opportunity to become a site of critical remembrance in a country that has only recently come to terms with its complicity in the horrors of WWII. It is up to them to determine whether the Bührle collection can become an anchor point for these difficult conversations, or an anchor that sinks its reputation.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.019 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.159 | 0.027 |
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".