The Movement of Women, Beer and Feast Foods in Establishing the Inka Empire
Bibliographic record
Abstract
At its heart, empire is about movement with borders ever expanding outwards and tribute ever flowing inwards. For the Inka these aspects were gendered, with the conquest seen as masculine while the care and control of the conquered was feminine. Both forms of power were essential and functioned in tandem. From the feminine powers of provisioning came the bonds of reciprocity. Accepting Inka food and drink was not optional, but through its consumption bonds of reciprocal obligations were forged between the Inka elite and the non-Inka conquered communities. These bonds were made visible through feasting events involving maize beer (chicha) and splendid cuisine. Both the chicha and the foods were produced by the Chosen Women (Aqllakuna) allow us to see dual movements of empire in practice. The first movement is directed inwards towards the heart of the Inka Empire as daughters of conquered elite are taken as tribute to become Aqllakuna. The second movement is that of the Aqllakuna’s labour outward through hospitality and the subsequent reciprocal obligations produced. All feasting foods were created by the Aqllakuna, and thus through each sip of chicha their cultural capital is mobilized, reinforcing obligations that allowed the Empire to flourish.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".