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Record W2323363394 · doi:10.7183/1045-6635.27.1.22

Ecuadorian Cinnabar and the Prehispanic Trade in Vermilion Pigment: Viable Hypothesis or Red Herring?

2016· article· en· W2323363394 on OpenAlexaff
Richard L. Burger, Kris Lane, Colin A. Cooke

Bibliographic record

VenueLatin American Antiquity · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCinnabarVermilionArchaeologyGeographyMercury (programming language)HerringPigmentArtFisheryBiologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Cinnabar ore is the source of a bright red pigment (mercury [II] sulfide, HGS), a substance that was highly valued in the Central Andes during prehispanic times. It is traditionally believed to come from Huancavelica in south-central Peru, although some scholars have argued that a prehispanic cinnabar source existed at Azogues near Cuenca in southern Ecuador. It has also been suggested that the cinnabar recovered at archaeological sites in northern Peru such as Baton Grande may have come from this putative Ecuadorian source. In this article, the historical and archaeological evidence supporting this position is evaluated and found to be insufficient to sustain the Ecuadorian Cinnabar Hypothesis. Moreover, recent mercury isotope analysis of archaeological samples from northern Peru supports the earlier hypothesis that the source of the bright red pigment, sometimes referred to as vermilion, was cinnabar ore mined in Huancavelica. This source is located over 850 km to the south of archaeological sites such as Batdn Grande, Chongoyape, and Pacopampa.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.200
Teacher spread0.187 · 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

Citations32
Published2016
Admission routes1
Has abstractyes

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