Romanesque polychrome wood sculptures in Italy: towards a Corpus and a comparative analysis of the data from art-historical and technical studies
Bibliographic record
Abstract
The most important and rich collection of wooden sculptures in Italy is conserved at the National Museum of Palazzo Venezia in Rome. Some years ago, the study of this collection was carried out by the University of Urbino in collaboration with the Institute for Conservation and Valorization in Florence (ICVBC-CNR) thanks to funding by the Getty Foundation. This was an extraordinary opportunity for interdisciplinary research, between art history and technical-material scientific analysis, concerning the almost two hundred works preserved there, of different dating and provenance. Among them is the so-called Madonna di Acuto, one of the most fascinating wooden sculptures of the Romanesque period in Italy, remarkable for its stylistic quality and state of preservation. And it is precisely the interest aroused by this Madonna at the origin of a new research project, just started by the same team, dedicated to the polychrome sculpture of the Romanesque era in Italy; a subject that is still little frequented by scholars. The aim is to collect data concerning the historical-artistic and technical-material aspects, with particular attention to polychromy, and to create a digital database, to verify if, between the 11th and the third quarter of the 13th century, existed a typical behaviors" by the masters of lumber operating in a specific geographical area. This will help to establish the relationship, which was certainly created, between the nature of pigments, iconography, and symbolism of colors.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.016 | 0.026 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".