Bibliographic record
Abstract
Human relations are established and maintained through the sharing of food. Indeed, it has been asserted that eating and drinking play a vital role in the creation of lasting bonds. The Inka state, familiar with the benefits brought by sharing food and drinks, purposely staged extravagant banquets that were accompanied by songs and dances. For an expansive state such as the Inka, the annexation of new peoples and their lands often required complex negotiations that as a norm involved sharing food. State sponsored banquets formed part of ritual celebrations and provided the state the best opportunity to showcase not only its generosity, but also its might. While it is known that at such special occasions the Inka state served plenty of the maize beer chicha, the type of food prepared for such gatherings has remained less apparent. Recent research carried out at the provincial Inka centre of Tambo Viejo, in the Acari Valley of the Peruvian south coast, resulted in the unprecedented discovery of earthen ovens that were used to roast special occasion meals. In addition to the recovery of charred unfragmented camelid bones, the arid conditions of the region allowed us to recover partially burnt sweet potatoes in association with the ovens. The new evidence coming from Tambo Viejo enables us for the first time to have some sense of the kind of food served at the state sponsored feasts staged in the provinces.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.090 | 0.011 |
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".