Splendore a Venezia Art and music from the Renaissance to Baroque in the Serenissima ; The Montreal Museum of Fine Arts, October 12, 2013 to January 19, 2014 ; Portland Art Museum, February 15 to May 11, 2014
Bibliographic record
Abstract
Artistic and musical creativity thrived in the Venetian Republic between the early 16th century and the close of the 18th century. The city-state was known for its superb operas and splendid balls, and the acoustics of the architecture led to complex polyphony in musical composition. Accordingly, notable composers, including Antonio Vivaldi and Adrian Willaert, developed styles that were distinct from those of other Italian cultures. The Venetian music scene, in turn, influenced visual artists, inspiring paintings by artists such as Jacopo Bassano, Canaletto, Francesco Guardi, Pietro Longhi, Bernardo Strozzi, Giambattista and Domenico Tiepolo, Tintoretto and Titian. Together, art and music served larger aims, whether social, ceremonial or even political. Exhibition Montreal Museum of Fine Arts, Canada (12.10.2013 -19.01.2014) & Portland Art Museum, USA (07.03. - 18.06.2014)
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.049 | 0.003 |
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".