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Neolithic and Early Bronze Age of Cis-Baikal: Main Factors and Processes in the Development of Hunter-Gatherer Cultures

2023· article· en· W4384788372 on OpenAlexaff
Andrzej Weber

Bibliographic record

VenueBulletin of the Irkutsk State University Geoarchaeology Ethnology and Anthropology Series · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSubsistence agricultureFishingGeographyHoloceneHunter-gathererBronze AgeLoggingEcologyFisheryArchaeologyAgricultureForestry

Abstract

fetched live from OpenAlex

Middle Holocene hunter-gatherers (HG) of the Cis-Baikal, Eastern Siberia, display substantial spatiotemporal variation in adaptive strategies highlighted by several cultural transitions. These transitions are examined focusing on the role of the following factors: (1) changes in the distribution of the boreal forest; (2) technological innovations; (3) intensification of fishing; and (4) their combined impacts on subsistence and social structure. The expansion and retreat of boreal forest was important because it directly affected the distribution and abundance of large and medium terrestrial game, the core of subsistence for all Middle Holocene HG in the region. All other things being equal, expanding forests meant less game while shrinking forest meant more game and more living space for HG. The bow was crucial not only due to its technological superiority over the spear and atlatl as a game hunting weapon but also because its flexibility allowed it to work equally well for groups of any size and in any environment – forest or steppe. The much higher return rates associated with bow hunting freed enough labour to be allocated to other activities such as the intensification of fishing. Fishing and fisheries were important because they worked as a differentiating force: the more intensive the fishing, the more limited its spatial distribution and the greater the micro-regional differences between cultural patterns. Intensive fishing and game hunting pulled the adaptive strategies in two opposing directions: fishing towards differences and hunting towards similarities between groups and micro-regions. Social relations were important because they fine-tuned the social fabric to optimize the general strategy. Together, these factors account for all cultural transitions and variation documented for the Middle Holocene HG of Cis-Baikal: Transition 1 – formation of the Late Mesolithic cultural pattern with incipient formal cemeteries ~8630 cal BP; Transition 2 – replacement of the Late Mesolithic system on the Angara and in Southwest Baikal, but not in the Little Sea or on the Upper Lena, by the Early Neolithic Kitoi pattern with its very large cemeteries ~7560 cal BP; Transition 3 – collapse of the Kitoi by ~6660 cal BP followed by the formation of the Middle Neolithic pattern with no cemeteries; Transition 4 – reappearance of cemeteries ~6060 cal BP and the establishment of the Late Neolithic pattern; Transition 5 – formation of the Early Bronze Age system ~4970 cal BP; and lastly, Transition 6 – the end of the Early Bronze Age socio-economic pattern by ~3470 cal BP.

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 score0.100
Threshold uncertainty score0.199

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.012
GPT teacher head0.209
Teacher spread0.197 · 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
Published2023
Admission routes1
Has abstractyes

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