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Record W4386053769 · doi:10.53010/nys6.04

Pensar wak’a: horizontes estéticos, naturaleza y religiosidad en la tierra de los jaguares. Dos procesos de fe en los Andes del Perú, 1730-1773

2023· article· es· W4386053769 on OpenAlexaboutno aff
Daniel Moreno Bazaes

Bibliographic record

VenueNaturaleza y Sociedad Desafíos Medioambientales · 2023
Typearticle
Languagees
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtGeography

Abstract

fetched live from OpenAlex

The study investigates the celebration of ritual divination tables and rites of curing evil spells and illnesses in the central Andes in the middle of the eighteenth century. An analysis is made of the faith process carried out between 1762 and 1773 against Lorenza Vilches, a native of Yauyos, dedicated to healing, farming, and divination; as well as of the denunciations for witchcraft against Juan Santos Reyes, a farmer and native of the town of Cajamarca, between 1730 and 1736. Both cases allow us to approach the study of Andean religious practices through the mediation experiences of ritual specialists who put into communication the visible world of the people, the world of tutelary forces, and the influence of sacred landscapes in the organization of the social world. The research advances the study of the cult of wak’as, with a particular emphasis on the ritual aesthetics that developed in the cult of the Sun, the devils, and their changing and reciprocal natures.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0020.002
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.276
Teacher spread0.265 · 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 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
Published2023
Admission routes1
Has abstractyes

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