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Record W2283365769 · doi:10.33137/q.i..v27i2.8577

The <i>Vitruvian Man</i> by Leonardo: Image and Text

2006· article· en· W2283365769 on OpenAlexvenueno aff
Domenico Laurenza

Bibliographic record

VenueQuaderni d italianistica · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Art History Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAmbiguityPhilologyDimension (graph theory)Set (abstract data type)Image (mathematics)ArtElement (criminal law)Computer scienceLinguisticsCombinatoricsPhilosophyMathematicsArtificial intelligenceSociologyProgramming languageLaw

Abstract

fetched live from OpenAlex

This article analyses the nature and content of the so-called Vitruvian man by Leonardo, a study dealing with the proportions of the human body. The essay opens with an analysis of topics such as the image as the first element to be set out onto the page and its influence on the graphic arrangement of the text; the ambiguity between a private study and a study to be published; the dimension of the single page. It then proceeds towards an analysis of Leonardo's drawing as an attempt to visualize in a perfect way a text by Vitruvius and the conception of the visual language as a philological instrument.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.203
Teacher spread0.193 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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