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Record W4321020885 · doi:10.18254/s207987840024212-2

Ottoman Military Campaigns in the Peloponnese in the Second Quarter of the 15th Century: Military-Political Aspect

2023· article· en· W4321020885 on OpenAlexaboutno aff
Natalia Zhigalova

Bibliographic record

VenueIstoriya · 2023
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Ancient historyByzantine architectureFellPunitive damagesPoliticsState (computer science)Ottoman empireHistoryResistance (ecology)ClassicsLawPolitical scienceGeographyArchaeologyCartography

Abstract

fetched live from OpenAlex

In this article, the author examines the causes, course and results of the Ottoman military campaigns in the Peloponnese in the second quarter of the 15th century. The author comes to the conclusion that the raids of the Ottoman commander Turahan Bey in 1423, 1431 and 1435 were rather local acts of aggression aimed at intimidating the Morean despots and were intended to prevent the expansion of Byzantine influence in Greece and in the north of the Peloponnese. At the same time, the Ottoman campaign against the Peloponnese in 1446 had the character of a punitive expedition. Sultan Murad II personally led the invasion of the Morea, which speaks of the desire of the Ottomans to eliminate the center of resistance in this region once and for all. The shameful vassalage, which the Despotate of Morea fell into after the sack of the Peloponnese by the Ottomans, actually put an end to the attempts of the despot Constantine Palaiologos to create a strong, independent and self-sufficient state in the place of the Morea.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.247
Teacher spread0.235 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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