Shifting Local, Regional, and Interregional Relations in Middle Horizon Peru: Evidence from La Real
Bibliographic record
Abstract
The Middle Horizon (ca. A.D. 600-1100) was a period of great change in the Andes, with much of Perú connected through long-distance exchange and widely shared Wari styles and practices. Recent research has begun to detail the transformations that occurred within the period, leading to questions about the development of the Wari state and its shifting relationships with outlying areas over time. This article expands this research by exploring the temporal differences within a funerary assemblage at La Real, a site in the Majes Valley of southern Perú. The artifacts and human remains from La Real are used to explore Middle Horizon dynamism in relation to both the surging interregional interaction of the period and emergent social stratification in the valley. Mortuary profiles and sublethal violence remain fairly constant throughout the period, but lethal violence significantly increases in the late Middle Horizon. There are also significant changes over time in the presence of exotic goods and other items, reflecting an increase in craft specialization, the adoption of Wari-related styles and practices, and the development of a more regionally oriented economy. The role of the Wari state in these changes, although unclear, may relate to attempts by Wari leaders to manipulate the long-distance movement of a restricted group of artifacts and resources.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".