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Record W2566353433 · doi:10.1017/tam.2016.81

Prudent Deferment: Cosmographer-Chronicler Juan López de Velasco and the Historiography of the Indies

2016· article· en· W2566353433 on OpenAlexaff
Felipe E. Rúan

Bibliographic record

VenueThe Americas A Quarterly Review of Latin American History · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsBrock University
Fundersnot available
KeywordsReignHistoriographyWest indiesMonarchyBureaucracyHistoryLawPolitical sciencePoliticsArchaeologyEthnology

Abstract

fetched live from OpenAlex

The article examines why the first Chief Cosmographer-Chronicler of the Indies, Juan López de Velasco (c. 1530–1598), did not fulfill his historiographic duty of writing a general history of the Indies. It argues that although Velasco's tenure (1571-1591) at the Council of the Indies saw a high point in the accumulation of historiographic knowledge and information about Castile's Spanish-American possessions, the structural peculiarities of the cosmographer-chronicler's office disposed Velasco to prudently eschew writing an official history of the Indies. To appreciate and understand those peculiarities, the article focuses on three interrelated factors: the patronage networks at the royal court and their relation to monarchical bureaucracy; the Council of the Indies administrative reforms that led to the creation of the chief cosmographer-chronicler's office; and the climate of secrecy and censorship regarding knowledge of the Indies during Philip II's reign. The overarching emphasis, however, entails a consideration of the relationship between knowledge about Castile's American territories and monarchical bureaucracy, from the perspective of the Habsburg royal court in Madrid.

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: none
Teacher disagreement score0.813
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.016
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.218
Teacher spread0.203 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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