Greek vases in the Imperial Hermitage Museum : the history of the collection, 1816-69 : with addenda et corrigenda to Ludolf Stephani, Die Vasen-Sammlung der kaiserlichen Ermitage (1869)
Bibliographic record
Abstract
The Hermitage Museum in St Petersburg has one of the world's great collections of Greek vases. In addition to the numerous vases and fragments found on Russian territory, it includes those found in Italy and acquired directly or purchased from other collectors, most notably the Marquis Campana, Antonio Giuseppe Pizzati and Countess Laval. The history of this part of the Hermitage collection of vases has never before been told in full. Taking Ludolf Stephani's catalogue of 1869, Die Vasensammlung der Kaiserlichen Ermitage, as a starting point and studying a vast body of previously ignored archive documents, the authors (two of them curators of Greek vases in the Hermitage Museum) follow the formation of the collection up to 1869, establishing its sources and identifying a number of previously under-estimated or ignored Russian collectors of antiquities. The Hermitage collection is set not only within the Russian cultural context but within the wider picture of a pan-European interest in antiquities and their display. Since Stephani's catalogue is still the main source for scholars of vases and vase collections, the book includes a valuable list of addenda and corrigenda to the provenances he provides for vases from private collections (those found during excavations on Russian territory are largely correct).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".