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Record W2892050167

Did Savary of Mauléon participate in Alfonso IX’s failed siege of Caceres 1218?

2018· article· en· W2892050167 on OpenAlexaff
Lucas Villegas-Aristizábal

Bibliographic record

VenueDe Medio Aevo · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Iberian Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsCONQUESTHumanitiesPolitical scienceArtSiegeHistoryAncient history
DOInot available

Abstract

fetched live from OpenAlex

espanolEste trabajo evalua la evidencia existente acerca de la posibilidad de que Savary de Mauleon hubiese estado presente en el intento de conquista de la ciudad de Caceres por el rey Alfonso IX de Leon en el otono de 1218. Este trabajo tambien explica cuales son las posibles razones que llevaron a este mercenario poitevino a participar en las guerras ibericas contra los Almohades. Tambien intenta contextualizar la supuesta participacion de Savary en la peninsula iberica en relacion con su carrera politica y militar, antes y despues de su participacion en la Quinta Cruzada. EnglishThis paper assesses the evidence on whether Savary of Mauleon could have been present in the attempted conquest of Caceres by King Alfonso IX of Leon around the autumn of 1218. This paper furthermore explains, what were the possible reasons that might have encouraged the participation of this Poitevin mercenary in Iberian wars against the Almohads. It also attempts to contextualise Savary’s alleged involvement in Iberia in relation to his political and military career before and after the events of the Fifth Crusade.

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: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0020.002
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 head0.057
GPT teacher head0.277
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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