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Record W3205528455 · doi:10.24852/pa2021.3.37.70.84

Organization of the Living Space and the Inferred Economic Activity at the Middle Paleolithic Site in Saradj-Chuko Grotto (based on materials of layer 6B)

2021· article· en· W3205528455 on OpenAlexaff
Ekaterina V. Doronicheva, Galina Poplevko, Ivanov Vadim V.

Bibliographic record

VenuePovolzhskaya Arkheologiya (The Volga River Region Archaeology) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsResearch & Development Corporation
Fundersnot available
KeywordsMiddle PaleolithicContext (archaeology)ArchaeologyGeographyUpper PaleolithicNatural (archaeology)Middle East

Abstract

fetched live from OpenAlex

The use of modern methods of microstratigraphic and planigraphic analyses allows the authors to speak about features of organizing life space in the Middle Paleolithic sites. The layer 6B at Saradj-Chuko grotto can be defined as an actively occupied Middle Paleolithic habitation site, where ancient humans were engaged in manufacture and use of obsidian tools. A tracelogical analysis allowed the authors to reconstruct various economic activities of ancient humans. For the first time for the Middle Paleolithic site in the northern slope of the central Caucasus, a tracelogical analysis was carried out taking into account the space distribution of tools over the site area, which allowed us to study features of human activity at different areas of the site. The new data are considered within a broad context of the Middle Paleolithic of the Caucasus, as well as the available data on economic activity and residential structures in various sites are analyzed.

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 score0.085
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.249
Teacher spread0.221 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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