Bibliographic record
Abstract
Feasting has been proposed as the major context and impetus behind the intensification of production leading to the domestication of plants and animals. This article examines the way feasting contributes to fitness in traditional societies through the reduction of risks involving subsistence, reproduction, and violent confrontations. As other authors have noted, the risk-reduction strategies used by simple foragers differ significantly from risk-reduction strategies used by transegalitarian hunter-gatherers and horticulturalists. These differences are examined in more detail and are related to the emergence of feasting in transegalitarian societies. Surplus-based feasting is proposed as an entirely new element in community dynamics, probably first developed during the Upper Paleolithic in Europe, but becoming much more widespread in the world with the development of Mesolithic technology. Because feasting entails survival and risk-reduction benefits, it creates inherently inflationary food-production forces. These elements first appear among complex hunter-gatherers and logically lead to the intensification of food production, ultimately resulting in the domestication of plants and animals.
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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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.159 | 0.065 |
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".