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Record W3215882329

Reflejos del pasado medieval valenciano a través de un salterio cartujo

2021· article· es· W3215882329 on OpenAlexaboutno aff
Josefina Planas Badenas

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2021
Typearticle
Languagees
FieldArts and Humanities
TopicHistorical Art and Architecture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)KingdomFlemishRepresentation (politics)ArtMiddle AgesPeriod (music)ValenciaHeraldryClassicsArt historyHistoryHumanitiesAncient historyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The Bodleian Library in Oxford preserves in the Canonici Liturgici collection a Carthusian Psalter (ms. 114) (19261) associated with the artistic production of the kingdom of Valencia in the third quarter of the 15th century. This codex, practically unknown to art historians, is interesting because it comes from one of the two medieval charterhouses of the kingdom of Valencia: the Portaceli Charterhouse or the Valldecrist Charterhouse founded by King Martin I of Aragon. The manuscript is illustrated with and interesting image of King David which shows the Flemish influence in the kingdom of Valencia and the unpublished representation of San Martin de Tours. The latter illustration responds to the artistic forms developed by Leonardo Crespi and his miniaturists’ workshop during the second quarter of 15th century. These representations weave a network of contacts with other codices linked to the two aforementioned monastic centres and to the city of Valencia, receiving the northern artistic novelties. The marginal decoration, dependent of Central European models, is another testimony of the confluence of different artistic languages in the Crown of Aragon throughout this period.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.001
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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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
Published2021
Admission routes1
Has abstractyes

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