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Record W2887141483 · doi:10.1002/arp.1719

Hyperspectral satellite imagery detection of ancient raw material sources: Soft‐stone vessel production at Aqir al‐Shamoos (Oman)

2018· article· en· W2887141483 on OpenAlexaff
Alexander J. Sivitskis, Michael J. Harrower, Hélène David‐Cuny, Ioana A. Dumitru, Smiti Nathan, Frances Wiig, Daniel R. Viete, K. W. Lewis, Avary Rhys Taylor, Eli Dollarhide, Benjamin F. Zaitchik, Suleiman Al‐Jabri, Kenneth J. T. Livi, Alexander Braun

Bibliographic record

VenueArchaeological Prospection · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsQueen's UniversityGeological Survey of Canada
FundersCity University of New YorkNational Aeronautics and Space Administration
KeywordsGeologyNatural (archaeology)Hyperspectral imagingArchaeologyOutcropSatellite imageryRemote sensingMining engineeringGeographyGeochemistry

Abstract

fetched live from OpenAlex

Abstract Soft‐stone vessels (made of the rock chloritite, which is comprised of the mineral chlorite) are an important component of the material culture record of ancient southeast Arabia. Given the prevalence of soft‐stone vessels in domestic and funerary contexts, and the natural geological occurrence of chloritite in the region, archaeologists have long suspected that soft‐stone vessels could have been produced in United Arab Emirates (UAE) or Oman. However, over many decades of research very few pieces of worked raw material or unfinished vessel fragments have been recovered in Arabia. This changed dramatically in 2015 with the discovery of the Iron Age village of Aqir al‐Shamoos where thousands of raw, worked, and unfinished pieces attest to soft‐stone vessel manufacture. Aqir al‐Shamoos continues to yield new insights regarding soft‐stone vessel production, but the source of raw material used to craft these objects initially remained unknown as no natural chloritite deposits had been found in the immediate vicinity of the site. We present results of hyperspectral satellite imagery target detection used to search for natural surface occurrences of chloritite near Aqir al‐Shamoos. Despite limitations in carbonate and phyllosilicate mineral discrimination, field survey of the satellite detection results revealed chloritite outcrops in the ophiolite formation mountains 1.4 km northwest of Aqir al‐Shamoos near the newly discovered archaeological site of ‘Waby al‐Zady. Reflectance spectroscopy (0.35–2.5 μm) of material from multiple chloritite sources indicates that chloritite from ‘Waby al‐Zady is spectrally very similar to material at Aqir al‐Shamoos but quite different in comparison with material from other locations. These findings indicate that: (1) hyperspectral satellite imagery target detection can be useful for chloritite prospection, (2) ‘Waby al‐Zady (or somewhere very nearby) was probably the source of chloritite used at Aqir al‐Shamoos, and (3) chloritite reflection spectra may be useful for distinguishing chloritite from different sources.

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)0.000
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 score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.019
GPT teacher head0.239
Teacher spread0.220 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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