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Record W3005448327

От Ионического моря до Мааса: границы распространения традиции Генезиса лорда Коттона в западноевропейской иконографии Сотворения мира в VIII–XII веках

2019· article· ru· W3005448327 on OpenAlexaboutno aff
Anna V. Pozhidaeva

Bibliographic record

VenueКонференция Актуальные проблемы теории и истории искусства · 2019
Typearticle
Languageru
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIconographyFrescoQuarter (Canadian coin)Ancient historyPeriod (music)ArtHistoryGeographyArchaeologyArt historyPainting
DOInot available

Abstract

fetched live from OpenAlex

Studying the 8th–12th-century iconography of the Creation offers a possibility to follow the logicof spreading of the iconographic patterns fully or partially on a wide territory of Mediaeval Europe. The most influential of all Early-Christian protographs for Western Europe was the so-called Cotton Genesis. It was the ultimate source of cycles, singular compositions or some separate elements that could be integrated in other scenes with similar subjects belonging to other traditions, e.g. “Roman-type” monuments (frescoes and book illumination of Rome and Lazio) etc. Thus, in the scenes of the First Day of Creation and the Creation of Adam in Carolingian and some later monuments, the figures of angels standing by the Creator may be related to the personifications of the Days of Creation in the Cotton Genesis. The recently discovered 8th–9th-century Langobard frescoes in the Crypt of the Fall near Matera allow us to attribute the first examples of this kind of separate motive migration to Carolingian period. They also mark the Southern border of ‘Сottonian’ expansion area in Western Europe. The monuments of Rhein-Maas region, including the Verdun homiliary (first quarter of the 12th century), mark the Northern border of this type’s expansion.

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)0.002
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: none
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.004

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 head0.027
GPT teacher head0.237
Teacher spread0.210 · 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
Published2019
Admission routes1
Has abstractyes

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