Birds among the Moche of northern Peru: Examining food, environment, and ritual through avian taxa from Huaca Colorada (600–900 CE)
Bibliographic record
Abstract
Abstract Relatively little attention has been paid to the importance of birds as alternative food sources and as ceremonial offerings in Moche practices. I examine bird remains from the Late Moche (600–900 CE) site of Huaca Colorada of the Jequetepeque Valley, Peru, to investigate the role of birds in daily activities and their use in ritual events. The Moche used birds in diverse ways in both domestic and ceremonial activities. Beginning with their use as food source, this analysis addresses the active hunting and opportunistic collection of various avian taxa to establish some of the ways that these animals formed part of subsistence practices. I further consider the way birds can serve as environmental proxies. I examine the presence of marine birds and possible nonlocal species at Huaca Colorada for their use in ceremonial practice. Zooarchaeological and iconographic evidence attests to various predatory bird taxa as important liminal beings for bridging different ecological zones and as vehicles for the travel of spirits and other supernatural forces between spheres of the living and the dead. By investigating birds in Moche practices, this article contributes new insights on the way avian species formed part of feasting events and mortuary offerings and more fully connects iconographic and zooarchaeological records.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".