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Record W2950206283 · doi:10.1017/aaq.2019.33

Reconsidering the Chronology: Carbonized Food Residue, Accelerator Mass Spectrometry Dates, and Compositional Analysis of a Curated Collection from the Upper Great Lakes

2019· article· en· W2950206283 on OpenAlexaboutno aff
Susan M. Kooiman, Heather Walder

Bibliographic record

VenueAmerican Antiquity · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsPotteryArchaeologyChronologyBeakerAccelerator mass spectrometryPopulationRadiocarbon datingGrave goodsWoodlandPeriod (music)GeographyEcologyArtDemography

Abstract

fetched live from OpenAlex

Recent reexamination of pottery, copper objects, and glass trade beads using modern analytic methods has amended the occupational history of the Cloudman site (20CH6), once interpreted as an early “Contact” period site in Michigan. The original chronology of the site, located on northern Michigan's Drummond Island in Lake Huron, was based on an apparent association of Iroquoian pottery with European-made trade goods relatively dated to circa AD 1630. Current advances in archaeological dating methods have revealed new insights into the poorly understood settlement patterns and social interactions of various Upper Great Lakes groups between AD 1300 and 1700. Accelerator mass spectrometry dating of carbonized food residue collected from late Late Woodland and Ontario Iroquoian pottery vessels suggests some contemporaneous use of both styles and the culmination of occupation by pottery-making groups by AD 1500. Elemental analysis of glass beads indicates that the recovered trade items were likely manufactured post–AD 1650. Likewise, compositional analysis of copper-base metal artifacts clarifies how such objects were made and used over time at the site. The results demonstrate how the application of modern analytic methods to curated collections can lead to significant reinterpretation, ultimately enhancing understandings of regional chronologies, social relationships, and population movements.

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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.212
Teacher spread0.188 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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