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Record W7029323030

Intento de robo en la catedral de Huesca durante la peste de 1651

2021· article· en· W7029323030 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of Medieval Iberia
Canadian institutionsnot available
Fundersnot available
KeywordsPlague (disease)DocumentationQuarter (Canadian coin)Vault (architecture)Seal (emblem)Period (music)Front (military)
DOInot available

Abstract

fetched live from OpenAlex

The last plague suffered by the city of Huesca occurred in 1651-1652 and it caused the death of a quarter of its population. On October 8th 1651, in the throes of the most critical moments of the epidemic, the stonemason Pedro de Mur, the sculptor Domingo Gil, the barrel-maker Martín Zurnaba and several other men tried to carry out a robbery in the cathedral. When the plague hit the city, many citizens of Huesca fled, and some of them entrusted their riches to the Church for safekeeping in their absence. These treasures were kept in the cathedral archive and, aware of this, Mur and his accomplices tried to break through its stone vault during the course of a whole day. When they were discovered they fled, and Pedro de Mur was arrested the next day. The trial against Mur, which is the main source of information for the article, provides new details about one of the most difficult moments in the history of Huesca, and it is also a surprising document, since, unlike one would imagine in the midst of a plague, everything in the document conveys a sense of normalcy in the city. The documentation does not include the sentence, but we know from municipal records that the stonemason was executed.

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: none
Teacher disagreement score0.149
Threshold uncertainty score0.296

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.226
Teacher spread0.215 · 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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Same venueDialnet (Universidad de la Rioja)Same topicHistorical Studies of Medieval IberiaFrench-language works237,207