Greenblatt, Stephen. Shakespeare’s Freedom
Bibliographic record
Abstract
Raphael's Sistine Madonna over the course of the nineteenth century "from sacred to profane cult image, " as it successfully usurps Correggio's La Notte for the place of honour in the Dresden picture gallery.Angela Windholz reconstructs a nineteenth-century monument to the salvific effects of Raphael in her study "'Savior, Prince of Color': The Collection of Raphael Copies in the Orangery in Potsdam (1858)." In the final essay of the collection, Inge Reist takes the reader up to the early years of the twentieth century, when the chief prize for American captains of industry in their acquisition of culture for the New World was the largely elusive Raphael Madonna.The editors' claim for the essays in Sacred Possessions-that they demonstrate how "the collecting of religious art in Italy and the collecting of Italian religious art elsewhere constituted a special case within the larger study of collecting"-can be substantiated only by a much larger comparative study, a field for which this book prepares the ground.More to the point is the expansive list of questions posed by Feigenbaum and Ebert-Schifferer in their introduction.Rather than assert a single thematic or theoretical centre, Sacred Possessions is a witness to the complex diversity in the use, possession, and perception of Italian religious art within European and American cultures of collecting during the long early modern period.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.042 | 0.014 |
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".