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Record W2318715299 · doi:10.2307/972085

Social Complexity and Food Systems at Altun Ha, Belize: The Isotopic Evidence

2001· article· en· W2318715299 on OpenAlexaff
Christine D. White, David M. Pendergast, Fred J. Longstaffe, Kimberley R. Law

Bibliographic record

VenueLatin American Antiquity · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsRoyal Ontario MuseumWestern University
Fundersnot available
KeywordsReefBiologyIsotope analysisδ13CStable isotope ratioZoologyEcology

Abstract

fetched live from OpenAlex

This study reports stable carbon-isotope ratios for both bone collagen and apatite, and nitrogen-isotope ratios for bone collagen for 72 Maya skeletons from 9 zones representing contrasting status groups at Altun Ha, Belize. The sample spans the Preclassic to Postclassic periods, approximately 800 B. C. to after A. D. 950. Although Altun Ha has a maize-based (C-4) diet, it has a much stronger marine/reef component than any other Maya site studied so far. Two possible dedicatory burial groups are dietarily distinct. The source of protein appears to have been fairly stable throughout the site sequence, but a marked shift to reduced consumption of C4 foods seems to have occurred after the Early Classic period. A second similar decline probably occurred between the Late/Terminal Classic and the Postclassic periods. These apparent temporal trends may, however, be confounded by differences between zones. High status is marked by consumption of large quantities of C4 foods, possibly including C4-fed terrestrial animals. Males consumed more meat and C4 foods than did females. All δ-values and collagen-apatite spacings indicate that children were breastfed until at least the age of three or four.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.515

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.064
GPT teacher head0.267
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations75
Published2001
Admission routes1
Has abstractyes

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