Vernacular Architecture of the San Pedro de Atacama’s Ayllu as a Facilitating Mechanism for Sustainable Development in Chile
Bibliographic record
Abstract
The main objective of this study is to explore how the construction of adobe and the Ayllú can be a facilitating mechanism for environmental protection, sustainability and development.The Ayllú de San Pedro de Atacama has been selected as a case study, because: (1) it is a territory with unique vernacular architecture, made up of adobe construction, (2) it has an ancestral tradition in adobe construction, ( 3) its construction typology is part of its material heritage and is used as a tourist resource, (4) it is located in one of the driest deserts in the world, (5) its adobe construction has allowed to safeguard its identity, sustainability and development community.The methodology is carried out, through a constructive analysis of an Ayllu, together with the analysis of 6 interviews carried out by the Pangea Foundation with key actors to explore the link with enviromental protection, sustainability and development, together with a mapping of where The main Ayllu in San Pedro are located and analyze the heritage tourist offer in this regard.It is concluded that adobe construction can be a facilitating mechanism for environmental protection, sustainability and development, as is observed in the case of San Pedro de Atacama.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".