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Record W3183453047 · doi:10.1017/aaq.2021.39

The Evolution of Smoking and Intoxicant Plant Use in Ancient Northwestern North America

2021· article· en· W3183453047 on OpenAlexafffund
William J. Damitio, Shannon Tushingham, Korey J. Brownstein, R. G. Matson, David R. Gang

Bibliographic record

VenueAmerican Antiquity · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolomics and Mass Spectrometry Studies
Canadian institutionsUniversity of British Columbia
FundersU.S. Army Corps of EngineersUniversity of British ColumbiaWashington State UniversityBureau of ReclamationYale UniversityU.S. Department of TransportationNational Science Foundation
KeywordsIndigenousArchaeologyArchaeological scienceGeographyBiologyEcology

Abstract

fetched live from OpenAlex

Smoking pipes discovered in archaeological contexts demonstrate that Indigenous peoples of the Pacific Northwest of North America have practiced smoking for over 4,500 years. Archaeometry and ancient residue metabolomics provide evidence for the association of particular plants with these artifacts. In this article, we synthesize recent research on ancient smoking and present current knowledge on the spatiotemporal distribution of smoking in the past. The presence of stone smoking pipes in the archaeological record is paired with our understanding of past plant use based on chemical residue analyses to create a picture of precontact smoking practices. Archaeological pipe data demonstrate that smoking was a widely distributed practice in the inland Northwest over the past several thousand years, but not on the coast. Distributional data—including positive and negative evidence from chemical residue studies—show that tobacco was an important smoke plant in the region as early as around 1,410 years ago and as far north as the mid-Columbia region. Ancient residue metabolomics contributes to a richer understanding of past use of specific plants through the identification of tobacco species and other indigenous plants, including Rhus glabra , Cornus sericia , and Salvia sp., as contributing to the chemical residues in ancient pipes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.879

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)0.0000.000

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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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.

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

Citations8
Published2021
Admission routes2
Has abstractyes

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