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Record W4403742649 · doi:10.31489/2024hph3/58-68

Some aspects of the Caspian policy of Peter I: based on the expedition in the first quarter of the 18th century

2024· article· en· W4403742649 on OpenAlexaboutno aff
Baishov B.B., Abdenov A.Zh., Orazaeva Zh.Zh., Demeuova N.K.

Bibliographic record

VenueBulletin of the Karaganda university History Philosophy series · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)HistoryAncient historyGeographyArchaeology

Abstract

fetched live from OpenAlex

It is important to study the historical and geographical issues of the Caspian Sea, whose name underwent various changes in different periods of history due to the historical and political situation of that time. The article is written based on Russian, Kazakhstan and foreign scientific works. The purpose and objectives of the research is to study the historical significance of the expeditions organized by Peter I for the purpose of research and development of the Caspian Sea basin at the beginning of the 18th century in the collection of scientific data about the sea. Analyzing data on the history of the sea, the name of the sea; Conducting scientific analysis of the records of Russian travelers and scientists found in archive funds on the historical, geographical and economic features of the sea. The Caspian Sea and its historical and geographical issues have been the subject of historical research of many travelers, historians, geographers and scientists since ancient times. The authors make scientific conclusions by systematizing a lot of cartographic materials and data written on this issue, focusing on the expeditions organized along the Caspian Sea during the period of Peter I.

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: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.102

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 studies0.0040.004
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.171
Teacher spread0.153 · 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
Published2024
Admission routes1
Has abstractyes

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