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Record W3016777820 · doi:10.7202/1068577ar

Tearing Plato to Pieces: Gianfrancesco Pico della Mirandola and Marsilio Ficino on the History of Platonism

2020· article· en· W3016777820 on OpenAlexvenueno aff
Denis J.-J. Robichaud

Bibliographic record

VenueRenaissance and Reformation · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPlatonismPhilosophyHistoriographyInterpretation (philosophy)LiteratureChristianityClassicsArtEpistemologyHistoryTheologyArchaeology

Abstract

fetched live from OpenAlex

This article considers Gianfrancesco Pico della Mirandola’s understanding of the history of Platonism in his Examen vanitatis. It analyzes his sources and methods for understanding the history of philosophy—genealogical source criticism, historiographical analysis, and comparative history—and argues that his approach is shaped by anti-Platonic Christian apologetics. It documents how Gianfrancesco Pico closely studies Marsilio Ficino’s and his uncle Giovanni Pico’s understandings of Platonism and its history, and how his contextualization of their work within the broader history of Platonism is part of a larger endeavour to turn the page and even close the book on this chapter of the Quattrocento. Although neither Ficino nor Gianfrancesco finds universal agreement among ancient Platonists, Ficino explains their history as one of inquiry and interpretation, in which Platonism and Christianity are inexorably united, whereas Gianfrancesco characterizes it as a history of lies and disagreements that threaten Christianity. In trying to protect sacred history, Gianfrancesco Pico helped develop the tools that would eventually critique it.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.055
GPT teacher head0.213
Teacher spread0.158 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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