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Record W1997101489 · doi:10.1111/1475-4754.00033

Chemical Analysis of 17th‐century Red Glass Trade Beads from Northeastern North America and Amsterdam

2001· article· en· W1997101489 on OpenAlexaff
Martha L. Sempowski, A. Nohe, R. G. V. Hancock, Jean‐François Moreau, Frances Kwok, Susanne Aufreiter, Karlis Karklins, Jan M. Baart, Charles Garrad, I. R. Kenyon

Bibliographic record

VenueArchaeometry · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsUniversity of TorontoUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsBeadMineralogyMaterials scienceOpacityArchaeologyGeologyChemistryComposite materialGeographyOptics

Abstract

fetched live from OpenAlex

Seventeenth‐century opaque red (redwood) glass trade beads of different shapes and sizes were made of mixed alkali (mainly soda)–lime glasses and were coloured with Cu, presumably as cuprous oxide or as finely dispersed elemental Cu. During the early 17th century, beads of all shapes were opacified with Sn; cored beads, with uncoloured cores and hence lower Cu levels, also tended to have slightly lower Sn contents than uncored beads. By the mid‐17th century, cored tubular beads were being opacified with a combination of Sn and Sb, a technological change similar to that observed in white glass trade beads, while uncored redwood beads appear not to have been opacified with either Sn or Sb. Bead chemistries are sufficiently different to allow them to be sorted into subgroups, which may then be tracked in various archaeological sites and regions.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score0.455

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.217
Teacher spread0.198 · 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 designBench or experimental
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

Citations31
Published2001
Admission routes1
Has abstractyes

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