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The Persian Campaign of Peter I on the pages of the Vedomosti newspaper

2023· article· en· W4386600154 on OpenAlexaboutno aff
Jamal Rakhaev

Bibliographic record

VenueOrientalistica · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSecurity, Politics, and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperOttoman empirePoliticsPersianQuarter (Canadian coin)EmpireGovernment (linguistics)TurkishState (computer science)Ancient historyHistoryForeign policyRepresentation (politics)Media studiesPolitical scienceEconomic historyLawSociologyTheology

Abstract

fetched live from OpenAlex

The first printed newspaper Vedomosti, founded by Peter the Great, is an important source for studying the history of Russian-Ottoman and Russian-Iranian relations in the ϐirst quarter of the 18th century. A lot of attention in the Vedomosti was paid to the international situation of the Ottoman Empire and Russian-Turkish relations. In general, the newspaper characterizes the Ottoman state as an enemy of Russia and all Christian peoples. Under the constant attention of the Vedomosti were the most important changes in the government of Sultan Ahmed III (1703–1730), in the foreign policy priorities of Turkey, as well as domestic political issues the situation of its Christian subjects. The newspaper’s materials provide information about international relations on the eve and during the Persian campaign of Peter I of 1722– 1723, as well as about the representation of newly acquired possessions in the Eastern Caucasus. The Vedomosti newspaper was the ϐirst periodical that introduced the Russian society to the peoples of the Caucasus, the geography of the region and the military-political situation in the Western Caspian region.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.088

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 studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.005

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 head0.046
GPT teacher head0.301
Teacher spread0.255 · 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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