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Record W6999093165

Cautiverio, desarraigo y supervivencia de una comunidad mudéjar castellana: Deza (1429)

2025· article· en· W6999093165 on OpenAlexfundno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval and Early Modern Iberia
Canadian institutionsnot available
FundersAgencia Estatal de InvestigaciónGobierno de AragónMinisterio de Ciencia e InnovaciónEgg Farmers of Canada
KeywordsDocumentationContext (archaeology)Government (linguistics)Event (particle physics)Power (physics)
DOInot available

Abstract

fetched live from OpenAlex

At the beginning of 1429, Alfonso V of Aragon reached an agreement with InfanteEnrique of Castile and King Juan of Navarre to organize an army and carry out a military incursion into Castile. Their objective was to pressure the Castilian monarch, Juan II, to restore the power of the Aragonese infantes in the government of the kingdom. This article analyzes one of the military operations carried out by this army, specifically, the attack perpetrated against the town of Deza, located in the easternmost part of the Crown of Castile. The key event to be presented is the aggression suffered by the Islamic community of this town, whose members were captured and put up for sale in Zaragoza and other cities of the Crown of Aragon. The impact of this event in the local context was already highlighted in some of the chronicles of the 15th and 16th centuries, although, in this work, we will primarily rely on unpublished documentation from the Archive of the Crown of Aragon and the Historical Archive of Notarial Protocols of Zaragoza.

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)0.000
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 score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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
Published2025
Admission routes1
Has abstractyes

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