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Record W7132154092

Romanesque polychrome wood sculptures in Italy: towards a Corpus and a comparative analysis of the data from art-historical and technical studies

2019· article· en· W7132154092 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2019
Typearticle
Languageen
FieldChemistry
TopicWood and Agarwood Research
Canadian institutionsnot available
Fundersnot available
KeywordsPolychromeSculpturePeriod (music)Quarter (Canadian coin)Subject (documents)National museum
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.309
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueDialnet (Universidad de la Rioja)Same topicWood and Agarwood ResearchFrench-language works237,207