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Record W7116801064 · doi:10.1111/arcm.70077

Fecal Steroids as Tracers of Human Population and Waste Management Practices at the Ancient Maya City of Ucanal, Guatemala

2025· article· en· W7116801064 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueArchaeometry · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsMcGill UniversityConcordia UniversityUniversité de Montréal
FundersUniversité de MontréalMcGill University
KeywordsFecesMayaPopulationHuman fecesPollutionFecal coliform

Abstract

fetched live from OpenAlex

ABSTRACT Geochemical data compiled from dried sediments from three water reservoirs at the ancient Maya city of Ucanal, Petén, Guatemala, reveal low to undetectable fecal biomarker concentrations. These low concentrations may be the result of the aerobic decay of sterols combined with well‐managed waste disposal practices. Despite generally low concentrations of fecal biomarkers, evidence was detected for increased fecal residues during the Late Classic and Terminal Classic periods, corresponding with population increases at the site. Together, the evidence suggests that Maya inhabitants of Ucanal created an urban environment that prevented, to some degree, fecal waste pollution of their water resources.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.298

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)0.0000.000

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 head0.017
GPT teacher head0.270
Teacher spread0.253 · 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