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Record W328597103

Su alcuni marmi della collezione Traversi di Desio

2010· article· it· W328597103 on OpenAlexaboutno aff
Luca Tosi

Bibliographic record

Venuenot available
Typearticle
Languageit
FieldEconomics, Econometrics and Finance
TopicDiverse academic and cultural studies
Canadian institutionsnot available
Fundersnot available
KeywordsSculptureArtPaintingPortraitArt historyWifeRomanceQuarter (Canadian coin)HumanitiesArchaeologyHistoryLiteraturePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The article presents a small selection of sculptures from the collection of Giovanni Battista Traversi (1766-1854). He created his collection in the second quarter of the nineteenth century with the collaboration of Pelagio Palagi, the painter and architect who also designed the bizarre neo-gothic building where the works of art were placed. This tower was built in the romantic park of the huge site of villa TRaversi in desio, north of Milan, not far from Monza. The collection consisted of more than ninety works and was dispersed during the twentieth century; fortunately, a considerable number of sculptures was purchased by the Commune of Milan to be assigned to the Museo d’arte Antica of the Castello Sforzesco (1950). The main attention has been focused on the lost or unpublished sculptures with the greatest importance from an historical and artistic point of view, which may be dated from the twelfth century to the seventeenth century. Among the most significant discoveries, above all remarkable are the fourteenth-century frontal of the presumed funeral monument of Maria di Savoia (Galeazzo il Visconti’s wife) an d a tondo with the effigy of Bianca Visconti Bottigella, who died in 1486 and is well-known thanks to the similar portrait in the Pala Bottigella by Vicenzo Foppa.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0290.007

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 head0.035
GPT teacher head0.206
Teacher spread0.171 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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