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Record W1582737393 · doi:10.14296/kgqq6780

Recasting Commodity and Spectacle in the Indigenous Americas

2014· book· en· W1582737393 on OpenAlexaboutno aff
Helen Gilbert, Charlotte Gleghorn

Bibliographic record

VenueUniversity of London Press eBooks · 2014
Typebook
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsnot available
FundersRoyal Holloway, University of LondonUniversity of Leeds
KeywordsSpectacleCommodityIndigenousEconomic geographyPolitical scienceGeographyEconomicsMarket economyLawBiology

Abstract

fetched live from OpenAlex

Indigenous artists frequently voice concerns over the commodification of their cultures, a process acutely felt by those living with the consequences of colonialism. This timely book, which features color illustrations throughout, examines the ways in which contemporary indigenous peoples in different parts of the Americas have harnessed performance practices to resist imposed stereotypes and shape their own complex identities. Essays by leading academics and practitioners show the vibrancy of a wide array of indigenous arts and cultural events in the United States, Mexico, Peru, Bolivia, Canada, Nicaragua, Ecuador, and Belize. As well as analyzing performance idioms, the authors trace the circulation of creative products and practices as commodities, as cultural capital, and/or as heritage. Making reference to aesthetic forms, intellectual property, and political empowerment, these essays weigh the impact of music, festivities, film, photography, theater, and museum installations among diverse audiences and discuss ways in which spectacles of cultural difference are remodeled in the hands of indigenous practitioners.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0070.004
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.032
GPT teacher head0.187
Teacher spread0.155 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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