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Record W2088030123 · doi:10.1130/g30276a.1

Lake-sediment geochemistry reveals 1400 years of evolving extractive metallurgy at Cerro de Pasco, Peruvian Andes

2009· article· en· W2088030123 on OpenAlexaffabout
Colin A. Cooke, Alexander P. Wolfe, William O. Hobbs

Bibliographic record

VenueGeology · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCitationIconGeologyArchaeologyLibrary scienceGeographyComputer science

Abstract

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Research Article| November 01, 2009 Lake-sediment geochemistry reveals 1400 years of evolving extractive metallurgy at Cerro de Pasco, Peruvian Andes Colin A. Cooke; Colin A. Cooke 1Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta T6G 2E3, Canada Search for other works by this author on: GSW Google Scholar Alexander P. Wolfe; Alexander P. Wolfe 1Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta T6G 2E3, Canada Search for other works by this author on: GSW Google Scholar William O. Hobbs William O. Hobbs 1Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta T6G 2E3, Canada *Current address: Department of Geosciences, University of Nebraska–Lincoln, Lincoln, Nebraska 68588-0340, USA. Search for other works by this author on: GSW Google Scholar Geology (2009) 37 (11): 1019–1022. https://doi.org/10.1130/G30276A.1 Article history received: 30 Mar 2009 rev-recd: 03 Jun 2009 accepted: 22 Jun 2009 first online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Colin A. Cooke, Alexander P. Wolfe, William O. Hobbs; Lake-sediment geochemistry reveals 1400 years of evolving extractive metallurgy at Cerro de Pasco, Peruvian Andes. Geology 2009;; 37 (11): 1019–1022. doi: https://doi.org/10.1130/G30276A.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract The geochemical record preserved in lake sediments is a potentially powerful tool in archaeometallurgy. Here, sediments from Llamacocha, a small lake in the central Peruvian Andes, are used to reconstruct a 1400 year legacy of metal extraction from Cerro de Pasco, once the largest silver mine in the world. The earliest evidence for anthropogenic lead (Pb) enrichment occurs ca. A.D. 600 and is confirmed by Pb stable isotope ratios that match those of Cerro de Pasco ores. Early Pb pollution is attributed to precolonial smelting for silver production, which relied on galena-based fluxes. Following colonial control of the mine ca. A.D. 1600, the switch to mercury (Hg) amalgamation for winning silver resulted in atmospheric Hg emissions, as registered in Llamacocha sediments. Both Pb and Hg deposition increased through the twentieth century, attaining peak values in A.D. 1968 and 1942, respectively. Principal components analysis (PCA) identifies a gradient that differentiates anthropogenic from natural metals within the record, confirming that early smelting led to the volatilization of trace metals associated with local ore mineralogy. These results represent the first evidence for a major precolonial mining industry at Cerro de Pasco, provide a chronological framework for evolving extractive technologies, and are the first to document widespread Hg pollution associated with colonial Hg amalgamation. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.990

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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 teacher head, not a consensus.

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

Citations41
Published2009
Admission routes2
Has abstractyes

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