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Record W2297211172

Indigenous Intellectuals, Knowledge, Power, and Colonial Culture in Mexico and the Andes

2015· article· en· W2297211172 on OpenAlexvenueno aff
Raphel Folsom

Bibliographic record

VenueCanadian journal of native studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismPeasantPower (physics)Framing (construction)HistoryEmpireAnthropologyMesoamericaSociologyEthnologyMedia studiesArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Gabriela Ramos and Yanna Yannakakis eds., Indigenous Intellectuals, Knowledge, Power, and Colonial Culture in Mexico and the Andes. Durham & London: Duke University Press, 2014. 323 pages. ISBN 978-0-82235660-8. $24.95 USD paperback.This is a superb collection of essays on one of the most exciting topics in Latin American history: the intellectual history of people not usually considered intellectuals-in this case Native people. The authors draw on a distinguished intellectual lineage that begins, in essence, with Karl Marx, and descends through Antonio Gramsci, E. P. Thompson, and the influential Africanist Steven Feierman, whose study of peasant intellectuals in Tanzania launched a wave of studies of the same topic in other locations.The editors' framing of the project is thoughtful. They are sensitive to historical change on both the Indigenous and European sides of the cultural divide, and to the many ways in which knowledge could be inscribed - a term they often use in order to avoid the fraught term writing. Maps, codices, quipus, dances, oral traditions, and other technologies of inscription fall within their generous definition of intellectual productivity. The contributors are also sensitive to contrasts between the development of New Spain and that of the Andes, beginning with the fact that many more surviving documents in Native languages come from Mesoamerica than from the former territory of the Inca Empire. A further leitmotif that runs through many of these essays is what the editors term Micropatriotic boosterism, a tendency among Indigenous intellectuals to write about their home territories in ways that legitimated the power of local elites.Though all the essays deserve lengthy notice, I can only offer a taste of their findings. Gabriela Ramos provides a useful comparison of Mexico and the Andes, showing that Andean Natives had less access to government institutions where writing and learning went on than did Mexican ones. She suggests that the decentralized network of cities that sprang up under the Aztecs had no parallel in Inca lands, where all other towns paled by comparison to Cuzco. Nevertheless, Ramos shows that Andean natives were able to get education outside formal urban settings, in homes and workplaces.John Schwaller offers a fascinating dual mini-biography of Fernando de Alva Ixlilxochitl and his brother Bernardo de Alva, using the contrasts between them to illuminate the intellectual careers of each. Fernando was governor of his hometown and translator to the Indian court. Bernardo was a beneficed priest. Both were important intellectuals but did contrasting things: Fernando glorified Texcoco in books for a Spanish audience, and Bernardo expounded Spanish culture to Native listeners in his many sermons.John Charles looks at Jesuit education in a time of idolatry extirpation. Some Andean Natives with education became fervent Christians, and others without it clung tenaciously to their ancestral ways. But the keen-eyed Charles shows that these two groups were not mutually exclusive: fervent Christians kept fingers discreetly in pagan pies; incorrigible idolaters discreetly adopted and adapted European beliefs. …

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.049
GPT teacher head0.274
Teacher spread0.225 · 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 designQualitative
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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Citations0
Published2015
Admission routes1
Has abstractyes

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