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Record W4410146744 · doi:10.1111/jlca.70007

Sound, Precarity, and Mapuche Reality in Urban Santiago

2025· article· en· W4410146744 on OpenAlexaff
Luis Achondo, Leonardo Díaz‐Collao

Bibliographic record

VenueThe Journal of Latin American and Caribbean Anthropology · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsMemorial University of Newfoundland
FundersFondo de Financiamiento de Centros de Investigación en Áreas PrioritariasFondo Nacional de Desarrollo Científico y Tecnológico
KeywordsPrecaritySound (geography)GeographySociologyAcousticsGender studiesPhysics

Abstract

fetched live from OpenAlex

ABSTRACT This article explores the role of sound during the performance of the Mapuche ceremony llellipun in Santiago. It argues that ceremonial sounds create an immersive experience that facilitates intercommunication between humans, spirits, and the ecosystem amid an eco‐spiritually precarious space, thereby making audible a distinctively urban Mapuche way of thinking and being in the world. In establishing and rendering perceptible human, non‐human, and more‐than‐human relations, sound production and sensation reaffirm the often‐neglected presence of eco‐spiritual forces and entities in the city—central components of the Mapuche lived world. However, this lived entanglement of the anthropological, ecological, and cosmological orders facilitated by llellipun differs from that of rural Mapuche settings. Indeed, Santiago's ecological and urban precarity, which hinders communication with nature and spirits, turns llellipun into an essential means of Mapuche existence, allowing them to reactivate an eco‐spiritual relationality that urbanity has certainly obstructed but not yet destroyed.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.996

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 studies0.0000.007
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 head0.032
GPT teacher head0.303
Teacher spread0.271 · 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.

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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