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Record W2932283477 · doi:10.21071/mijtk.v4i0.11174

Thomistic Logic in Renaissance Italy: Girolamo Savonarola, Paolo Barbò, Crisostomo Javelli

2019· article· en· W2932283477 on OpenAlexaff
Luca Gili

Bibliographic record

VenueMediterranea International Journal on the Transfer of Knowledge · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCompendiumThe RenaissancePhilosophyHumanismClassicsPresentation (obstetrics)TheologyHistoryArt historyLinguisticsMedicine

Abstract

fetched live from OpenAlex

This paper is devoted to the formation of a ‘Thomist logic’ in Renaissance Italy. After having expounded the principles that should inspire any logic ad mentem Divi Thomae, the article focuses on three textbooks of ‘Thomist logic’: Girolamo Savonarola’s Compendium Logicae, Paolo Barbò’s Expositio in Artem veterem, and Crisostomo Javelli’s Compendium Logicae. I show that these textbooks display common features, such as the presentation of logic according to the order of the books traditionally included in the Organon.Savonarola maintained that propositions can only be in the present tense and cannot generate insolubilia. Barbò’s contributions to philosophy of logic are conspicuous and include an original discussion of the subiectum of logic and of the doctrine expounded in the Categories. Under the possible influence of Renaissance humanism, Javelli’s textbook includes a history of logic and historical and philological analyses.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.053
GPT teacher head0.266
Teacher spread0.213 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

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