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Record W1556242230 · doi:10.29173/cons19666

“Alfonso X of Castile: Alfonso the Tolerant?”

2013· article· en· W1556242230 on OpenAlexvenueno aff
Michael Ruiter

Bibliographic record

VenueConstellations · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Iberian Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHarmony (color)PeninsulaAncient historyHumanitiesHistoryClassicsLawGenealogyArtPolitical scienceArchaeologyVisual arts

Abstract

fetched live from OpenAlex

Mediaeval Iberia was rife with inter-religious conflict between Christians, Jews, and Muslims that incited forced conversions and culminated in mass expulsions. Yet, in the midst of such a harrowing time in the peninsula’s history, there were occasional elements of harmony between these three groups, made all the more impressive in their rarity. King Alfonso X, the Wise, was a man whose rule exhibited a relative tranquility in inter-religious relations some have even suggested is deserving of altering his sobriquet to Alfonso the Tolerant. Through an examination of his law code, the Siete Partidas, and a compilation of several hundred canticles, the Cantigas de Santa Maria, this paper pinpoints elements of Alfonso’s rule to critically assess the claims of his tolerance.

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
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.228
Teacher spread0.183 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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