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Record W3097724877 · doi:10.15405/epsbs.2020.10.05.489

Topographic Landscape Of The Xviii Century: The Case Of Astrakhan Province

2020· article· en· W3097724877 on OpenAlexaboutno aff
Suseeva Danara, Dzhambinova Nadezhda, Kichikova Nadezda, Mandzhieva Elina

Bibliographic record

Venue˜The œEuropean Proceedings of Social & Behavioural Sciences · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsToponymyOnomasticsTerminologyHistoryNomenclatureNationalityQuarter (Canadian coin)CulminationGeographyArchaeologyAncient historyLinguistics

Abstract

fetched live from OpenAlex

The article is devoted to the study of toponyms recorded in the archival documents dating back to 1742. The material attracted our attention because it is a document-based description of the activity of Tatishchev at the time when he used to be the head of the Kalmyk Commission at the Collegiate of Foreign Affairs and the Governor of the Astrakhan province. These documents are stored in the National Archives of the Republic of Kalmykia and they are undoubtedly important for studying the toponymic space of the Lower Volga Region. The aim of the study is to reconstruct the toponymic landscape of the Astrakhan province according to the route, known as a “military campaign” from Astrakhan to Tsaritsyn. Based on the study, the authors came to the conclusion that the toponyms recorded in the archival documents can be divided into 3 groups. Along with the original Russian terminology, the toponymy of the Lower Volga Region uses nomenclature terms of Turkic origin. Substrate toponyms found in the toponymy of the region are also encountered in a number of modern toposystems of the Russian regions and the eastern regions of Ukraine. The authors believe that the analysis of onomastics of the second quarter of the XVIII century based on the region example will be a new step in the development of historical onomastics in general. The analysis of the identified toponyms recorded in the archival documents can be of interest not only for linguists but also for geographers, ethnographers and cultural experts.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.267
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

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