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Record W4416546085 · doi:10.1080/19442890.2025.2575250

How to Build a Drum-Shaped House: A Replicative Experiment in Ancestral Architecture (Cusco, Peru)

2025· article· en· W4416546085 on OpenAlexfundno aff
Julia E. Earle, Nancy Reyes Sevilla, Francisca Chihui Mendoza, Camilo Huaraca Marca, Nativo Verónica Tillca, Faustino Tillca Ccaita

Bibliographic record

VenueEthnoarchaeology · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaRust Family FoundationSociety for American Archaeology
KeywordsArchitectureFeature (linguistics)Sequence (biology)Key (lock)Systems architecture

Abstract

fetched live from OpenAlex

Studies of late prehispanic architecture in the Andes have generally focused on rectangular and circular structures associated with the Inka Empire. Meanwhile, the architecture of non-Inka populations spans a remarkable diversity of non-orthogonal structures, implicating varied roof designs and construction techniques. This study addresses a gap in knowledge on architectural traditions through collaboration with the community of Huama (Lamay District). Specifically, the replicative construction of a wankar wasi (drum-shaped house) presented herein draws on traditional knowledge developed in Huama over the course of many generations. We also applied Mobile Laser Scanning to visualize and analyze the resultant structure. These data facilitate analogy between contemporary practices and the archaeological record to understand the materials, knowledge, and relationships engaged by prehispanic builders, with the objective of reconstructing local cooperation and resilience of under state occupation. Moreover, this research celebrates local heritage while illuminating the technological choices implicated in construction, past and present.

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0020.001
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.021
GPT teacher head0.272
Teacher spread0.251 · 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 designBench or experimental
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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