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Record W7011038923

L'antico nei disegni di Giuliano da Sangallo: rilettura e rianalisi dei rilievi e delle rappresentazioni.

2022· dissertation· en· W7011038923 on OpenAlexaboutno aff

Bibliographic record

VenueFlorence Research (University of Florence) · 2022
Typedissertation
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessContext (archaeology)AntiqueExcavationThe RenaissanceFifteenthHumanismQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

In the context of historical and architectural investigations related to archaeological excavations, attempts have been made to take into account as a documentary source the drawings of antiquity, whose credibility has previously been called into question. Rather than being used for the understanding of the buildings they represent, the archaeological survey drawings served as a parameter for defining taste, influences, and themes of culture between the 15th century and the last quarter of the 16th century. To rediscover and recognize the status of the Antique during the Cinquecento, it was chosen to do so from the drawings of Giuliano Giamberti, da Sangallo, who was the architect of Lorenzo the Magnificent, and figure between the fifteenth and sixteenth centuries, within the Humanism and the Renaissance movements. An architect like Giuliano da Sangallo, eager to take advantage of the lessons of Antiquity, could benefit – in a unique and unrepeatable way – from the observations of the forums before the excavations of the popes. His corpus of drawings bears witness to a constant relationship with Antiquities, which is not limited either to the limits of the Urbs or to a «classical» chronology. It will be necessary to verify the working hypotheses, with further results due to careful research of archives, aimed at the precise knowledge of the ancient excavations carried out at the Renaissance, in order to reach to determine if possible, the landscape variations caused by this widespread activity as well. We did it by choosing from case studies such as the drawings of the triumphal arches, the Aemilia Basilica and the Septizonium. An attempt was made to “purify” Giuliano’s drawings by relying on his hypotheses of restitution, and distinguishing “graphic restoration” by a design work already present and attempting to solve some shadowy areas in the lexicon of graphic conventions.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.003

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 head0.058
GPT teacher head0.340
Teacher spread0.282 · 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 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
Published2022
Admission routes1
Has abstractyes

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