<>: Alessandro Piceller, Corrado Ricci, la monografia su Pintoricchio e la compravendita del Bartolomeo Caporali degli Uffizi
Bibliographic record
Abstract
In 1901 Corrado Ricci, at that time director of the Brera Gallery, began his correspondence with Alessandro Piceller, an antique dealer from Perugia who, from the last quarter of the XIXth century, traded in works of art and ancient objects coming from archaeological excavations. At the beginning of their business relationship Piceller helped Ricci to discover two panels on wood by Pintoricchio which were preserved in a private collection near Perugia, and then, in the 1903, when the scholar had already become director of the Uffizi Gallery in Florence, he offered Ricci the opportunity to purchase an unpublished painting by Bartolomeo Caporali which was at that time on the e market. The risk of the wood panel being bought by some foreign museums was very high and for this reason Ricci, to avoid this masterpiece going out of Italy, decided to buy it without having obtained the permission of the Ministry. The purpose of this essay, thanks to the investigation of three archives (the Archive of the Classense Library, the Piceller family Archive and the Archive of the Uffizi Gallery), is to trace the events leading to the painting being brought to the collection of the Florence Gallery.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.086 | 0.032 |
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".