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Record W4366452650 · doi:10.21301/eap.v17i4.5

Ioannes III Batatzes’s Italian Venture: Byzantine Imperial Revival in Mediterranean Diplomacy

2022· article· en· W4366452650 on OpenAlexaff
Aleksandar Jovanović

Bibliographic record

VenueEtnoantropološki problemi / Issues in Ethnology and Anthropology · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsEmperorByzantine architectureDiplomacyPoliticsEmpireAncient historyByzantine studiesRoman EmpireHistoryClassicsLawPolitical science

Abstract

fetched live from OpenAlex

Three Greek letters by the Holy Roman emperor Frederick II Hohenstaufen to the Eastern Roman emperor Ioannes III Batatzes, dating from the year 1250, cast light on the Laskarid involvement in Italian politics outside of the Balkan Peninsula, the traditional sphere of Byzantine influence. In two of the letters, the Holy Roman Emperor informs his son-in-law and ally Ioannes III about the war he is waging against the papal forces in Italy; in the third, Frederick II openly appeals to his Byzantine counterpart not to engage in unionist negotiations with the Holy See. Examining the content of these three letters, I suggest, helps us to redefine the role that the Laskarid polity played in the wider Mediterranean world of the mid-13th century. In this paper, I focus on the Italian case in order to illustrate that the Laskarid Roman Empire was an active political agent that sought to influence the politics of polities well outside its assumed political sphere of interest. The Italian example allows us to understand that the Byzantine Empire of Ioannes III Batatzes and his successors had enough vigor and resilience from the 1240s to the 1280s to project an image of itself as a dominant power invested in determining international affairs throughout Christendom.

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: none
Teacher disagreement score0.015
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0050.001
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.288
Teacher spread0.268 · 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
Published2022
Admission routes1
Has abstractyes

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