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<i>Contra damnationis filios</i>: the Visconti in fourteenth-century papal diplomacy

2007· article· en· W1995564093 on OpenAlexaboutno aff
Sharon Dale

Bibliographic record

VenueJournal of Medieval History · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsSchismDiplomacyPoliticsHistoriographyAncient historyHoly SeeAllianceScrutinyHistoryLawPhilosophyArchaeologyTheologyPolitical science

Abstract

fetched live from OpenAlex

This article seeks to reappraise the relationship between the Avignon papacy and the Visconti lords of Milan during the fourteenth century. Avignon popes generally viewed the Visconti as the major obstacle to papal temporal power in Italy and thus fashioned propaganda that demonised them. This mythic portrayal, that was re-framed by Florence to justify its own imperialistic ambitions in Tuscany, has been accepted uncritically by modern historiography. Documents from the Vatican archive reveal a more complicated diplomacy. Papal policy toward the Visconti was far from consistent, as the curia welcomed Visconti money and Avignonese popes regularly granted the Visconti papal vicariates. This article demonstrates that the papal-Visconti struggle was a key factor in the creation of the strategic alliance between Florence and the Visconti that made the War of Eight Saints possible and ended the Guelph alliance. This study further suggests that the political ambitions of Giangaleazzo Visconti were stoked in great measure by the Great Schism when partisans of both popes looked to him as the saviour of the Church and of Italy. Finally this article suggests that a re-evaluation of fourteenth-century diplomacy might accord closer scrutiny to the role played by the Church in destabilising Italy.

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)0.001
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 score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.006
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.227
Teacher spread0.207 · 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
Published2007
Admission routes1
Has abstractyes

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