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Record W7125788254 · doi:10.7264/jf9mtb85

The Chemistry of Nueva Cadiz and Associated Beads: Technology and Provenience

2021· article· W7125788254 on OpenAlexaff
Brad Loewen, Laure Dussubieux

Bibliographic record

VenueBeads (Ottawa. Online)/Beads · 2021
Typearticle
Language
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsUniversité de Montréal
FundersFlorida Museum of Natural History
KeywordsBeadCobaltTRACE (psycholinguistics)CopperKey (lock)

Abstract

fetched live from OpenAlex

Dating to about 1500-1560, Nueva Cadiz beads are the earliest glass beads found in the Americas, and many questions regarding their technology and provenience surround them. Analysis of 10 beads from the namesake Nueva Cádiz site in Venezuela and 33 beads collected from an unknown site or sites near Tiahuanaco, Bolivia, provide chemical compositions of their turquoise, dark blue, white, red, and colorless glasses. We analyze the sand, flux, and colorants that went into their fabrication. The two collections show a common beadmaking tradition and provenience, except for three beads made of high-lime low-alkali (HLLA) glass. Colorants and opacifiers are cobalt for blue, a tin-based agent for white, and copper for turquoise and red. Trace elements associated with cobalt indicate a variable source for this colorant. By comparing the layers of composite beads, we discover technological aspects of bead design and workshop organization. To investigate provenience, we compare the levels of key elements with other glasses of proven origin. There are similarities with glasses made in Venice and Antwerp, identifying these places as candidates for the origin of Nueva Cadiz beads.

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 score0.076
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.003
Science and technology studies0.0030.002
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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