MétaCan
Menu
Back to cohort
Record W4407311109 · doi:10.1017/laq.2024.28

Tombs as Evidence of Religious Diversity in the Sacred Valley, Peru (ca. AD 1000–1532)

2025· article· en· W4407311109 on OpenAlexfundno aff
Julia E. Earle

Bibliographic record

VenueLatin American Antiquity · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaNational Science Foundation
KeywordsDiversity (politics)Religious diversityHistoryArchaeologyGeographyAncient historyAnthropologyEthnologySociology

Abstract

fetched live from OpenAlex

Abstract This article articulates a regional, diachronic approach to precontact central Andean tombs by interpreting differences in materiality and function as evidence for distinct religious traditions. I analyze a sample of 788 tombs from 30 sites in the Sacred Valley and adjacent tributary valleys (Cusco, Peru), built and used during the Late Intermediate and Inka periods (ca. AD 1000–1532). Combining primary and published datasets, this sample includes a wide variety of tombs that variably facilitated or impeded certain interactions and relationships between the living, the dead, and the environment. To understand this diversity, I develop a typology comprising six tomb types based on morphological traits, which exhibit overlapping distribution patterns at local and regional scales. In contrast to studies that emphasized commonality and timelessness in central Andean mortuary practices, these data attest to considerable diversity in belief and value systems during half a millennium. As such, this study challenges existing models and presents new interpretations of late precontact tombs, considering that central Andeans across time and space held divergent beliefs about life and death. Recognizing diversity in past and present Indigenous societies is required for an empirical and decolonial archaeology that rejects stereotypes of cultural homogeneity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.275
Teacher spread0.244 · 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 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueLatin American AntiquitySame topicLatin American history and cultureFrench-language works237,207