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Spanish South American Mainland

2012· book· en· W2740468563 on OpenAlexaff
Peter Blanchard

Bibliographic record

VenueOxford University Press eBooks · 2012
Typebook
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMainlandHistoriographyCONQUESTScholarshipSettlement (finance)HistoryPopulationMainland ChinaAncient historySymbol (formal)EthnologyGeographyGenealogyArchaeologyDemographyPolitical scienceSociologyChinaLaw

Abstract

fetched live from OpenAlex

This article reviews scholarship on the history and historiography of slavery in the Spanish South American Mainland. The history of African slaves on the South American mainland began with the Spanish conquistadors in the early sixteenth century. Already present in the West Indies and Mexico following the Spanish conquest and settlement of those areas, slaves now became involved in the expansion of Spanish rule southward. Small numbers accompanied the conquistadors along the Pacific coast. While most of the African slaves and slaves of African descent who participated in the conquest were soon freed, thereby establishing the roots of a growing and important free coloured population, thousands more arrived in their footsteps. In the process, the role of the African slave changed significantly. Initially, the majority of the slaves had been retainers and servants of the conquistadors who used some of the looted wealth of the Incas to acquire what was essentially an expensive status symbol. And while the slave as status symbol remained a constant throughout the history of slavery in Spanish South America, the vast majority of the new imports were destined to occupy far more demanding and onerous positions as manual labourers and domestic servants.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0350.007

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 head0.028
GPT teacher head0.224
Teacher spread0.197 · 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
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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Same venueOxford University Press eBooksSame topicCuban History and SocietyFrench-language works237,207