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Record W1586897053 · doi:10.1086/605110

The Proof Is in the Pudding

2009· article· en· W1586897053 on OpenAlexaff
Brian Hayden

Bibliographic record

VenueCurrent Anthropology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsDomesticationSubsistence agricultureMesolithicUpper PaleolithicContext (archaeology)Production (economics)ReproductionGeographyEcologyAgricultureArchaeologyEconomicsBiology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.310
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations171
Published2009
Admission routes1
Has abstractyes

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