MétaCan
Menu
Back to cohort

THE CRIMEAN PENINSULA IN THE FIRST QUARTER OF THE NINETEENTH CENTURY AS AN INTEGRAL PART OF THE HISTORY OF THE RUSSIAN STATE

2015· article· en· W2464839597 on OpenAlexaboutno aff
Yusup M. Huseynov

Bibliographic record

VenueHistorical and social-educational ideas · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSecurity, Politics, and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsPeninsulaQuarter (Canadian coin)State (computer science)TatarEconomic historyAdministration (probate law)Period (music)Capital (architecture)Ancient historyPolitical scienceHistoryGeographyArchaeologyLawArt

Abstract

fetched live from OpenAlex

This article examines the history of the Crimean Peninsula in the first quarter of the nineteenth century. This period characterized as the time of the tsarist policy of the Crimea. This policy resulted in the aggravation of contradictions between the Crimean Tatar people with the settlers. Trying to resolve this negative circumstance, the tsarist administration has undertaken a series of reforms, which has somewhat mitigated this problem. This article also explains the rise in the economic development of the Peninsula in the first quarter of the XIX century, which was inextricably linked with the influence of Russian capital in the Crimea. Not neglected by the author remains the policy of Russia towards improving the infrastructure of the region. In 1826 was built the road from Simferopol to Alushta, in 1837, continued to Yalta, and in 1848 – to Sevastopol. In 1848, on the border of the southern coast of the Crimea and the Northern slope of the mountains built Baidar gate.

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)0.000
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 score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.287
Teacher spread0.245 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueHistorical and social-educational ideasSame topicSecurity, Politics, and Digital TransformationFrench-language works237,207