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Record W2894142871 · doi:10.1017/bch.2018.22

A ‘fownde patrone and second father’ of the Marian Church: Antonio Buonvisi, religious exile and mid-Tudor Catholicism

2018· article· en· W2894142871 on OpenAlexaff
Frederick E. Smith

Bibliographic record

VenueBritish Catholic History · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsTrinity College
Fundersnot available
KeywordsReignPraiseInterpretation (philosophy)HistoryState (computer science)ClassicsReligious studiesTheologyLawPhilosophyPolitical scienceArtLiteraturePolitics

Abstract

fetched live from OpenAlex

Abstract Despite receiving particular praise from a range of early modern commentators, from Nicholas Sander to Pedro de Ribadeneyra, most historians have seen the Italian merchant Antonio Buonvisi playing a fairly negligible role in the history of mid-Tudor Catholicism. This article challenges this interpretation. After reassessing some rather simplistic assessments of Buonvisi’s religious beliefs, this article explores his actions and activities following his self-imposed exile from England in 1549. Using research conducted in both the State Archives of Lucca and the Vatican City, it suggests that Buonvisi played a far more significant role in ensuring the survival of English Catholicism over the first decades of the Reformation than is usually acknowledged. Indeed, it argues that Buonvisi may have helped lay core foundations for the Catholic restoration of Mary I’s reign, the success of which has recently been highlighted by historians such as Eamon Duffy.

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)0.001
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: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.012
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.190
Teacher spread0.172 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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