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Record W3153550646 · doi:10.33137/rr.v43i4.36387

Claiming Nobility in the Monarquía Hispánica: The Search for Status by Inca, Aztec, and Nasrid Descendants at the Habsburg Court

2021· article· en· W3153550646 on OpenAlexvenueno aff
Karoline P. Cook

Bibliographic record

VenueRenaissance and Reformation · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Studies in Latin America
Canadian institutionsnot available
FundersInstitut National Du Cancer
KeywordsNobilityParallelsPetitionerAncient historyHistoryAristocracy (class)LawPolitical sciencePoliticsEngineering

Abstract

fetched live from OpenAlex

By the early seventeenth century, petitioners at the royal court in Madrid who claimed descent from the Inca rulers of Peru, the Aztec rulers of Mexico, and the Nasrid emirs of Granada found ways to acquire noble status and secure rights to their ancestral lands in the form of entailed estates. Their success in securing noble status and title to their mayorazgos (entailed estates) rested on strategies, used over the course of several generations, that included marriages with the peninsular nobility, ties of godparentage and patronage, and military service to the crown. This article will examine the networks formed in Madrid between roughly 1600 and 1630 when the descendants of the Inca and Aztec rulers interacted with peninsular noble families at court, obtaining noble status and entry into the military orders and establishing their mayorazgos. Their strategies for claiming nobility show striking parallels to those adopted by the Morisco nobility, and one aim of this article is to suggest how knowledge of such strategies circulated among families both at the royal court in Madrid and in the viceroyalties of New Spain and Peru.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.317
Teacher spread0.288 · 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 teacher head, not a consensus.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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