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Record W2312963093 · doi:10.1215/00141801-2821657

Indians, Cannibals, and Barbarians: Hernán Cortés and Early Modern Cultural Relativism

2015· article· en· W2312963093 on OpenAlexaff
David A. Boruchoff

Bibliographic record

VenueEthnohistory · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsMcGill University
Fundersnot available
KeywordsBarbarismCivilityHumanityPoliticsCivilizationIdiotHumanismPhilosophyRelativismSociologyHistoryAestheticsReligious studiesLiteratureAnthropologyEpistemologyLawTheologyArtArchaeologyPolitical science

Abstract

fetched live from OpenAlex

The little-known body of texts written by humanists in the wake of Christopher Columbus's first voyage across the Atlantic Ocean (1492–93) draws upon classical and ecclesiastical teachings in regard to political existence and Christian evangelization to set forth a nuanced understanding of the difference between pernicious and innocuous forms of barbarism. Although both forms of barbarism are grounded in deficiencies, these texts laud the inherent goodness and perfectibility of the peoples who were subsequently called Indians, in contradistinction to the ferocity, cunning, and obstinacy of those instead dubbed cannibals. Consideration of this body of writings not only undercuts the simplistic claim that Europeans discounted the humanity of America's natives; it also elucidates both how certain markers of intelligence and civility informed strategies of conversion or subjugation and why societies of Indians held such an attraction for utopian thought.

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)0.002
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: none
Teacher disagreement score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.026
Scholarly communication0.0060.002
Open science0.0010.002
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 head0.050
GPT teacher head0.236
Teacher spread0.186 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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