Bibliographic record
Abstract
Feasts were integral to pre-Columbian political economies in the Andes. The large feasts of the Inca Empire, which institutionalized asymmetrical relationships between subjects and the state, are the best known, and a point of comparison for many pre-Inca societies. It is therefore unsurprising that the feasts hosted by the Wari, an expansionist state in the central highland of Peru some 700 years earlier, are often assumed to have played a similar role. In this article, we argue that there were substantial differences between early Wari and Inca practices that reflect the different objectives of their hosts. The large feasts in Inca plazas emphasized the unbridgeable gap between ruler and subjects, while early Wari hosts strove to build interpersonal relationships between households in far more intimate affairs. To better understand the nature of Wari feasting, we discuss the acquisition, preparation, consumption and disposal of roasted camelid meat and hallucinogen-laced beer that were featured at the feasts of the Wari-affiliated settlement of Quilcapampa. The differences in feasting practices may relate to profound differences between early Wari and Inca statecraft that would narrow in Wari’s final century, as the state matured.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".