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Record W4285410020 · doi:10.24852/pa2022.1.39.8.16

Traditions and Innovations’ in Housebuilding of the Later Volosovo Population of the Mari Volga Region

2022· article· en· W4285410020 on OpenAlexaboutno aff
Elena E. Vorobeva

Bibliographic record

VenuePovolzhskaya Arkheologiya (The Volga River Region Archaeology) · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsVolga regionGeographyHuman settlementPopulationArchaeologyQuarter (Canadian coin)ResidenceEthnologyDemographyHistorySociology

Abstract

fetched live from OpenAlex

Since the Stone Age, the Mari Volga region, occupying the south of the Vetluga – Vyatka interfluve and adjacent areas of the Volga right bank to the east of the mouth of the Sura River, attracted the population of various archaeological cultures. Having appeared on the territory of the Mari Volga region in the IV millennium BC, the Volosovo population existed in the territory under consideration until the middle of the II millennium BC. During this long period of residence on the territory of the Mari Volga region, the population of the Volosovo culture not only preserved traditions in the organization of the settlements, construction of residential structures, but also as a result of contacts with other tribes, brought certain innovations to house-building. Active archaeological research of the Volosovo sites on the territory of the Mari Volga region allows the author to analyze house-building techniques. The author examines the traditions and innovations of the organization of living space among the Volosovo population of the Mari Volga region at the end of the III – first quarter of the II millennium BC.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.186
Teacher spread0.168 · 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.

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
Published2022
Admission routes1
Has abstractyes

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