MétaCan
Menu
Back to cohort

Опыт определения копромаркеров в отложениях археологических памятников (по материалам стоянки Сельунгур, Южный Кыргызстан)

2023· article· en· W4391327409 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

VenueORIENTAL STUDIES · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Toronto
FundersRussian Science Foundation
KeywordsHoloceneCaveArchaeologyGeologyCharcoalTaphonomyFaciesRock shelterPleistoceneDebrisPaleontologyGeographyOceanographyStructural basin

Abstract

fetched live from OpenAlex

Introduction. The article discusses the results of a study of ash layers from Holocene deposits at the Selungur (Surungur) Cave. Goals. So, the work attempts a practical evaluation of a method of identifying coprostanols in archaeological sediments. The investigation of Holocene deposits of the site was carried out in 2018 and 2021 field seasons. The study identifies a total of 7 Holocene layers that represent the typical ‘fumier’ facies of cave and rock shelter deposits connected to pastoralism and animal husbandry practices, and built up of stratified layers of burnt herbivore dung. The sequence contains a record of multiple earthquakes that disturbed the sediments and effected in water escape structures, plastic deformations, and faults. Nevertheless, the stratigraphy remains easily readable. Unfortunately, archaeological and paleofaunistic materials were never found but a series of ash-containing interlayers suggests that the cave was repeatedly visited by ancient humans. Materials. In the ash deposits, our micro charcoal analysis has identified areas of concentration of burnt dungs which was used for fire. Series of samples were taken throughout the section of Holocene deposits for gas mass spectrometry analysis. The research efforts have also included the analysis of modern dung from herbivores inhabiting the area, such as cows, sheep, goats, horses and donkeys, for the latter obtained data to serve as a reference collection. Results. Unfortunately, layer 7 of the Selungur Cave proved characterized by poor preservation of fire products, while layers 6–1 yielded somewhat rich data. The obtained results make it possible to identify coprosterols and determine that equine dung was used in layers 6-2 as a fuel, and goat dung — in the first layer. The most widespread distribution of equines in this region occurred during the existence of Dayuan (Parkan) state, in the third century BC and later in the Middle Ages. Most likely, during these periods the mountain corridor comprising the Selungur Cave could have been used as a pass of the Silk Road that connected the Fergana and Alay valleys. The accumulation of the upper layer, in our opinion, is associated with the modern era.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.008

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 head0.043
GPT teacher head0.262
Teacher spread0.219 · 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