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Record W2371613003 · doi:10.3138/cjh.ach.51.1.rev36

<i>Purchasing Whiteness: Pardos, Mulattos, and the Quest for Social Mobility in the Spanish Indies</i> by Ann Twinam

2016· article· en· W2371613003 on OpenAlexaffvenue
Jason Dyck

Bibliographic record

VenueJournal of History · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsTrent University
Fundersnot available
KeywordsSociologyPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Purchasing Whiteness: Pardos, Mulattos, and the Quest for Social Mobility in the Spanish Indies, by Ann Twinam. Stanford, Stanford University Press, 2015. xvii, 534 pp. $100.00 US (cloth), $34.95 US (paper). In Purchasing Whiteness Ann Twinam demonstrates that former African slaves and their descendants played far greater roles in viceregal societies than was previously recognized. She highlights pardo and mulatto struggles for social equality with a detailed tour of the historic interstices that allowed them to either pass as, or legally become, white. Her study centres on the whitening gracias al sacar, purchasable certificates that made it possible for the progeny of Blacks to erase the stain of their birth and enjoy the offices and privileges of Spaniards and creoles. But these royal decrees were only initially drafted in the late eighteenth century, which is why Twinam argues that processes of whitening clearly rested on the real mobilities of unknown thousands of slaves, free blacks, castas, pardo, and mulatto vassals (421). Twinam analyzes pardo and mulatto mobilities in what she calls long time, charting the centuries-long transition from slave to free person to royal vassal to citizen. Purchasing Whiteness, as a result, is a lengthy study of thirteen chapters divided into five chronological sections. The introductory part sets the stage with an extensive but arguably necessary survey of the historiography on the whitening gracias al sacar, which is immediately followed by a detailed overview of racial thinking in the Spanish Empire. Twinam painstakingly connects petitions for whiteness from various archives across the Spanish world, exposing a series of false assumptions about gracias al sacar. She corrects earlier claims that Mestizos were able to purchase whitening certificates, that these petitions were commonly solicited by pardos and mulattos, and that selling whiteness was the carefully planned policy of a cash-strapped Spanish state to earn money. Twinam also rightly places gracias al sacar in a larger tradition of monarchical dispensations stemming back to the medieval period. Whitening certificates, as a result, are not an entirely surprising development given that Spanish kings had eliminated defects like illegitimacy or blood impurity for centuries. When the reader finally gets into the heart of Purchasing Whiteness in the second section (81), one is treated to a fascinating sketch of pardo and mulatto strategies for social ascendancy in the 1600s and early 1700s. Twinam shows how some avoided tribute payments, others served in royal militias, a few were able to bypass prohibitions to enter universities, and many, guided by a Hispanic propensity to think generationally (126), played genealogical mathematics by calculatingly marrying lighter-skinned partners in hope of whitening future generations. Refreshing about the analysis in this section is Twinam's insistence that the horrors of slavery and the legal restrictions placed upon those of African descent are not the only tales to be told; pardos and mulattos skillfully navigated the confining yet fluid spaces of Spanish law and Spanish American traditions, carving out a better future for both themselves and their offspring. …

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.028
GPT teacher head0.287
Teacher spread0.260 · 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.

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".

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Citations1
Published2016
Admission routes2
Has abstractyes

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