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Record W4315650451 · doi:10.1163/22141332-10010005

The Deceivers Deceived: How a Seventeenth-Century Venetian Anti-Jesuit Circle Duped a Jesuit Rector

2023· article· en· W4315650451 on OpenAlexfundno aff
Sabina Pavone

Bibliographic record

VenueJournal of Jesuit Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
FundersUniversité de Sherbrooke
KeywordsMedieval historyPoliticsEspionageChurch historyClassicsLiteratureHistoryArtTheologyPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract In 1608, Antonio Barisone (1557/8–1623), rector of the Jesuit college at Ferrara, became ensnared in an elaborate deception designed to expose the unscrupulous methods by which Jesuits exploited vulnerable wealthy widows and enlarged the material wealth of their Society. Entering into a correspondence with a Venetian noblewoman who lamented the loss of her Jesuit confessor following the expulsion of the Society of Jesus from Venice (1606), it took several months before Barisone realized that the letters he was receiving actually had their origins in the anti-Jesuit circles linked to Paolo Sarpi (1552–1623). In addition to throwing light on Venice as a hotbed of espionage, political rumors, and conspiratorial activity in the early sixteenth century, this episode foregrounds several themes and leitmotifs that would go on to dominate anti-Jesuit polemic over the subsequent centuries.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0460.025
Scholarly communication0.0100.005
Open science0.0020.007
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0070.001

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 head0.055
GPT teacher head0.276
Teacher spread0.221 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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