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Record W2981937920 · doi:10.7202/1065125ar

English and Scottish Scholars at the Library of Gian Vincenzo Pinelli (1565–1601)

2019· article· en· W2981937920 on OpenAlexvenueno aff
John‐Mark Philo

Bibliographic record

VenueRenaissance and Reformation · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
FundersLeverhulme Trust
KeywordsSchismWitnessClassicsHistoryNational libraryArtLiteratureLibrary scienceLawPoliticsPolitical science

Abstract

fetched live from OpenAlex

Throughout the second half of the sixteenth century, the scholar and collector Gian Vincenzo Pinelli (1535–1601) welcomed poets, mathematicians, antiquarians, and astronomers from every corner of Europe to his vast private library in Padua. These scholars left their mark on Pinelli’s collection, annotating his manuscripts, trading texts, and even making contributions of their very own to his library. This article considers the English and Scottish scholars who visited Pinelli’s collection and the works they gifted to Pinelli. These manuscripts, now preserved at the Biblioteca Ambrosiana, Milan, include an impressive breadth of material, ranging from treatises on England’s schism with Rome to verse commemorating the deaths of fellow scholar–poets. Pinelli, it emerges, was not only hosting scholars from England and Scotland, but also gathering reports, discourses, and what was in many cases highly sensitive intelligence on both nations. These manuscripts thus bear witness to the importance of the Italian private library to the transmission of both ideas and physical texts across the Continent, shining new light on a literary culture that was able to cross and transcend national boundaries.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.004
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.014
GPT teacher head0.201
Teacher spread0.187 · 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

Citations21
Published2019
Admission routes1
Has abstractyes

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