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Record W2966082329 · doi:10.7202/1062069ar

Decolonial Reflections in Latin American Metal Music

2019· article· en· W2966082329 on OpenAlexvenueno aff
Nelson Varas‐Díaz, Eric Morales

Bibliographic record

VenueThéologiques · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismLatin AmericansCognitive reframingResistance (ecology)IndigenousChristianityPoliticsHistory of religionsThe artsSociologyHistoryPolitical scienceGender studiesAestheticsArtLawArchaeologyEcology

Abstract

fetched live from OpenAlex

Latin America’s history is deeply embedded in the experience of coloniality. Still, its history cannot be told without stories of resistance to its colonial experience. This resistance takes many shapes, from armed conflict to the use of the arts, and addresses many consequences of coloniality. We aim to explore how metal music in Latin America has been used to challenge the colonial legacy of the region. Although coloniality has had many implications (e.g., political, economical, environmental), we focus on the specific challenge towards religion (Christianity in particular) as a strategy to critically assess this colonial legacy. We present three thematic examples that highlight this critical approach in Latin American metal towards coloniality in general, and Christian religion in particular. These include : 1) highlighting the presence of indigenous populations in the region, 2) reframing of religious culture as an act of resistance, and 3) linking religion to current colonial politics.

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)0.003
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: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.018
Scholarly communication0.0060.002
Open science0.0010.006
Research integrity0.0010.003
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 head0.045
GPT teacher head0.261
Teacher spread0.217 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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