Ancestral construction techniques in southern Ecuador: from pre-Hispanic cultures to contemporary practices
Bibliographic record
Abstract
Abstract This article examines the construction methods employed in southern Ecuador prior to the Spanish conquest, focusing on their historical development, archaeological presence, and continued application in vernacular architecture. Emphasising the lesser-studied Cañari tradition alongside Inca techniques, this study analyses five methods, bahareque, adobe, rammed earth, cob, and carved stone, on the basis of archaeological records, the historical literature, and field observations. Rather than evaluating individual buildings, this research assesses these techniques as evolving knowledge systems, highlighting their material logic, climatic adaptability, and seismic resilience. Special attention is given to two major archaeological sites, Ingapirca and Pumapungo, whose architectural features reflect both indigenous and imperial influences. The study also addresses the erosion of traditional construction knowledge and contemporary regulatory challenges but affirms that the discussed construction methods, especially when enhanced by modern adaptations, hold relevance for sustainable, low-carbon design in Andean settings. By contributing new insights from an underrepresented geographical and cultural context, the article advances the international debates on heritage conservation, ecological construction, and the revalorisation of vernacular knowledge in global architectural discourses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".