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Record W4416108333 · doi:10.25807/22225064_2025_88_57

THE HIGHER SIBERIAN ADMINISTRATION AND THE DEVELOPMENT OF MUSEUM AFFAIRS IN THE LATE 19TH - EARLY 20TH CENTURIES

2025· article· W4416108333 on OpenAlexaboutno aff
E. V. Igumnov

Bibliographic record

VenueУниверситетский научный журнал · 2025
Typearticle
Language
FieldSocial Sciences
TopicSocial and Behavioral Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdministration (probate law)Quarter (Canadian coin)State (computer science)Period (music)Late 19th century

Abstract

fetched live from OpenAlex

The article examines the activities of the higher Siberian administration as one of the key factors in the creation and development of museums in Siberia and the Far East in the last quarter of the 19th and the early 20th century. This chronological span is justified by the fact that it was precisely during this period that a ramified network of museums took shape in the Siberian region, and public interest in them, as well as the attention of central and local authorities, grew rapidly. Particular attention is paid to the involvement of provincial leaders in constructing museum buildings and providing museums with premises of their own. The article also discusses such forms of support as financial assistance and the donation of valuable collections and objects to museums. In conclusion, it argues that the engagement of the higher Siberian leadership in the development of museum affairs was not the result of a systemic state policy, but rather a manifestation of personal initiative, dependent on officials’ interest and their understanding of public needs.

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)0.002
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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.004
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.311
Teacher spread0.283 · 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
Published2025
Admission routes1
Has abstractyes

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