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Russian Bindings of the First Quarter of the 19th Century Made of Calfskin with Morocco Spines

2025· article· en· W4409372684 on OpenAlexaboutno aff
Maria B. Zolotova

Bibliographic record

VenueObservatory of Culture · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Late 19th centuryAncient historyArtGeographyHistoryArchaeologyPeriod (music)Aesthetics

Abstract

fetched live from OpenAlex

In the era of customized hand-printed bookbinding, the type and grade of materials used were directly related to the number of operations involved in processing the various elements of the binding and the quality of the decoration. More valuable leathers and fabrics were chosen for expensive and artistically decorated bindings. One way to create a luxury effect was to applique a strip of saffiano on the spine over less expensive calfskin. When on the bookshelf, such bindings looked as if they were made entirely of morocco. This article studies Russian bindings of the first quarter of the 19th century with smooth morocco spines. More than 130 such specimens have been found in the collection of the Research Department of Rare Books (Book Museum) of the Russian State Library (RSL). On the basis of the analysis of gold tooling stamps and their arrangement, two main types of spine decoration are identified: with a single vertically oriented composition of stamps and with a traditional bandage composition, i.e. with the division of the whole area of the spine into separate quadrangular sections with the help of horizontally arranged bands of ornament. The types of stamps and decorative techniques characteristic of certain chronological intervals within the period under study are described. The identified characteristics can be used to describe both full-leather and Russian quorter leather bindings, as well as to clarify dating.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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