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Record W7025642557

Western European Editions in the Manor Library of the 18th-Century Ural Industrialist Alexei Turchaninov

2022· article· en· W7025642557 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Archive of the Russian State Pedagogical University (Russian State Vocational Pedagogical University) · 2022
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Quarter (Canadian coin)Thematic mapCultural heritageHistorical heritageNatural (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Personal libraries occupy a special place in the structure of the cultural heritage of the past. The study of one of them - currently the largest noble library of the Urals of the 18th century - should be recognized as a serious research objective. The study became possible thanks to the discovery of a rare source - the Property Inventory, compiled in 1789 after the death of the Ural industrialist Alexei Turchaninov. A huge section of the Inventory is reserved for the library, almost a quarter of which (about a thousand volumes) is occupied by Western European publications, and the article aims to analyze the latter. The difficulty, and often impossibility, of identifying foreign books according to the Inventory is due to the fact that they are described not in the original language, but in Russian, with no imprint, briefly, with inaccurate reproduction of authors' names and surnames. Therefore, it was possible to more or less reliably identify only a part of the books, while all of them were distributed according to linguistic characteristics and branches of knowledge. In total, 16 thematic sections are specified, each presented separately and in a summarizing table. The European publications on astronomy, physics and mechanics, mathematics, chemistry and mineralogy, natural science and medicine, which are not so typical for the noble library, are consistently considered, especially since among the books on this topic there was a lot of scientific and special literature. The maximum number of titles among foreign books was made up of books on chemistry and mineralogy, which speaks of the industrial interests of the library owner and his priorities in choosing foreign publications. The variety of literature on metallurgy, construction, mining, and industrial architecture is quite expected as part of the book collection of the Ural manufacturer. The humanitarian part of the library is rich in books on philosophy, politics and law; a historical section stands out: it ranks third in the number of titles and volumes. Modest in comparison with others, the section of literature of religious content still testifies to Turchaninov's spiritual quest, his interest in the origin of Christianity and the history of religion. In general, the analysis of foreign books by the degree of reflection of their titles and by the number of volumes in thematic sections showed that books of two sections - on art and pedagogy - dominate in the library, which indicates a serious influence of the family and the owner's enthusiasm for collecting (paintings, etc.) on completing his book collection. A general conclusion is made that, in terms of the composition of its foreign part, Turchaninov's library is completely universal, that is, characteristic of the era, but at the same time not typical of the noble book collections of that time; it shows a noticeable trend towards natural science and industrial literature. During the period defined by the term Gallomania and the predominance of French literature in the noble libraries, 85.7% of foreign books in Turchaninov's library were in German, the language of science and scientific knowledge of the time.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0010.001
Scholarly communication0.0050.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.005

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 head0.226
Teacher spread0.189 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
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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