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Record W4313477675 · doi:10.21747/2182-1097/14a8

El milagro en la pasión del apóstol Santiago el Mayor: imágenes medievales para el relato hagiográfico

2022· article· en· W4313477675 on OpenAlexaff
David Chao Castro

Bibliographic record

VenueCEM · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLibraries, Manuscripts, and Books
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsBaptismApostleArtNarrativeHumanitiesPassionMiracleEvocationMotif (music)LiteraturePhilosophyTheology

Abstract

fetched live from OpenAlex

The passion of the apostle James the Greater is one of the main cycles of his hagiography. It is worth recalling the various medieval texts and traditions that recreated the narrative, although the Passio Iacobi and later the Legenda Aurea should be singled out as the most important sources for the iconographic elaborations. There is also room for the miracle exercised from the thaumaturgic condition granted to James by Christ: the healing of a paralysed man is the decisive motif for the conversion of the scribe Josiah. However, the iconographic representation of this event was not very abundant in the Romanesque and Gothic centuries, as opposed to the baptism of Josiah and, above all, his beheading together with the apostle himself. Apart from possible theological considerations, the lesser fortune of this figurative register must also have been influenced by the synthetic nature of the iconographic cycles themselves, therefore its evocation was necessarily implicit in the inclusion of the conversion-baptism of Josiah

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)0.001
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: none
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.005
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.139
GPT teacher head0.234
Teacher spread0.095 · 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
Published2022
Admission routes1
Has abstractyes

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