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Record W4380481994 · doi:10.6000/1929-4409.2020.09.248

Crimea at the Boundary of the 19th-20th Centuries: Historiography of Creation of National-Oriented Educational Literature for Elementary School, Traditional National Clothes, Formation and Development of Higher Education

2022· article· en· W4380481994 on OpenAlexvenueno aff
Avva S. Gemedzhi, Elzara R. Anafieva, Nazle M. Yayayeva, Alime M. Yayayeva, Leylya H. Ablyamitova

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPsycholinguistics and Behavioral Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyDominance (genetics)Ethnic groupState (computer science)SociologyState formationClothingAncient historyHistoryLawPolitical scienceSocial scienceGender studiesPolitics

Abstract

fetched live from OpenAlex

Significant changes taking place in the socio-economic and cultural life of Crimea, in connection with joining the Russian Federation, determine priorities in the field of national policy and education, the main of which are the formation of national and universal values, ensuring the educational needs of Crimeans, preserving cultural and historical traditions of education and training of the younger generation. The development of primary education in Crimea at the end of the 19th and beginning of the 20th centuries differs significantly from other regions due to the specificity of ethno-religious identities. The ethno-confessional situation in the territory of Crimea in the second half of the 19th - early 20th centuries was rather complicated. Multi-faceted study of the history of the Crimea show that Crimea remained multinational at any given period of history, such as the dominance of one of the ethnic groups of the peninsula, the various state systems.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.012
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
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 head0.080
GPT teacher head0.375
Teacher spread0.295 · 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
Published2022
Admission routes1
Has abstractyes

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