Earthen Terrace Technologies and Environmental Adaptation in the Montane Forests of Pre-Columbian Northeastern Peru
Bibliographic record
Abstract
The pre-Columbian Andes are renowned for agricultural terrace systems in areas of steep terrain. Most studies have concentrated on regions characterized by seasonally-variable limited precipitation, yet research in high-precipitation and cloud-forest regions of the North and Eastern Andes demonstrates the diversity of terrace technologies adapted to different landscapes. This paper presents research from survey, excavation, and digital modeling of three types of well-preserved agricultural terraces found in a 50 km2 area in central Chachapoyas, northeastern Peru. These terrace types—which we refer to as linear segmented, contour, and sinkhole—were all comprised entirely of earth, not stone. Results from digital modeling using ArcGIS hydrology tools indicate different manners through which each terrace type structured the movement of water over the ground surface, supporting previous arguments that similar earthen terrace infrastructure in Colombia, Ecuador, and eastern Peru were likewise designed to manage runoff drainage rather than support irrigation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".