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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.001
metaresearch head score (Gemma)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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