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Record W2568927049 · doi:10.7183/0002-7316.80.3.530

Near-Infrared Spectrometry of Stone Celts in Precontact British Columbia, Canada

2015· article· en· W2568927049 on OpenAlexaboutno aff
Jesse Morin

Bibliographic record

VenueAmerican Antiquity · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyPlateau (mathematics)Stone toolGeographyGeologyHistory

Abstract

fetched live from OpenAlex

Research into broad patterns of trade and exchange in precontact British Columbia, Canada, has been very limited. This paper addresses that shortcoming by presenting the results of a mineralogical study of 1,374 stone celts and 131 sawn cores from which celts were manufactured from 196 archaeological sites across British Columbia. These artifacts were an integral part of the woodworking toolkits of aboriginal peoples in this region from ca. 3500 B.P. to around contact at about 180 B.P. The mineralogy of these artifacts was determined using a portable near-infrared spectrometer, and the resulting data mapped using Geographic Information Systems. The results of this study indicate that celt production and exchange largely occurred within five discrete celt stone regions. For two of these celt stone regions—the Salish Sea and the Canadian Plateau—1 argue that these represent interaction spheres. Only in the Salish Sea were considerable numbers of celts imported from another region. For the remaining three regions, not enough data are available on the geological distribution of various celt stones or on the spatial patterns of celt production to differentiate regional interaction from individual procurement and production.

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 score0.017
Threshold uncertainty score0.824

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 studies0.0000.001
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 head0.009
GPT teacher head0.194
Teacher spread0.185 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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