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Record W2785198780 · doi:10.1139/cjp-2017-0117

Lead isotope ratios in 16th century copperware traded to North America: the Swedish connection

2018· article· en· W2785198780 on OpenAlexafffundvenueabout
R. M. Farquhar, R.G.V. Hancock, L. A. Pavlish

Bibliographic record

VenueCanadian Journal of Physics · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsMcMaster UniversityUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsCopperTrace elementIsotopePaleozoicPrecambrianGeologyLead (geology)GeochemistryMetallurgyPaleontologyMaterials sciencePhysics

Abstract

fetched live from OpenAlex

Isotope analyses have been made on the trace amounts of lead in a small set of late 16th century pure copper trade kettles and kettle debris from Indigenous sites in eastern Canada. The isotope ratios are highly correlated. We interpret these correlations as the mixing of copper from Precambrian Swedish ores with metal from one or more of the Palaeozoic deposits occurring in central Europe and the British Isles. The data enable us to identify samples of pure Swedish copper, metal consisting of mixtures of Swedish and central European – British copper, and with less certainty, samples derived entirely from the latter deposits. Although most of the trace element concentrations in the coppers are quite variable, it appears that nickel values may be less so (∼100 ppm in pure Swedish samples, and ∼1100 ppm in the central European – British sources). Based on these values, two-component mixing relations provide estimates of the fractions of Swedish end members in mixed samples. These results suggest that more than half of the copper used in forming the kettles originated in Sweden.

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 score0.632
Threshold uncertainty score0.731

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.005
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.190
Teacher spread0.176 · 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

Citations0
Published2018
Admission routes4
Has abstractyes

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