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Record W7103753977 · doi:10.1016/j.jas.2025.106418

Mobility patterning during the Neolithic and the Bronze Age in north-central Myanmar

2025· article· en· W7103753977 on OpenAlexaff

Bibliographic record

VenueJournal of Archaeological Science · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of British Columbia
FundersInstitut FrançaisMinistère de l'Europe et des Affaires ÉtrangèresAustralian Research CouncilUniversity of Southampton
KeywordsBronze AgePrehistorySubsistence agricultureStrontiumIsotopes of strontiumMainlandBronze

Abstract

fetched live from OpenAlex

This study examines patterns of human mobility between two archaeological sites in north-central Myanmar during the Late Neolithic and Early Bronze Age (late 2nd to early 1st millennium BC). By analysing strontium isotope ratios in an interindividual as well as an intraindividual approach, we reveal that individual mobility was more pronounced during the Neolithic period (larger range of strontium isotope ratios), likely linked to the exploitation of a broader subsistence area. In contrast, the Bronze Age shows a shift towards smaller mobility, with the majority of individuals exhibiting local strontium isotopic compositions. Notably, a small number of individuals with distinct strontium isotopic signatures were associated with unique funerary practices. We discuss the implications of these findings in relation to subsistence strategies and cultural transformations between the Late Neolithic and Early Bronze Age. This research offers valuable insights into mobility, subsistence, and social dynamics in late prehistoric Myanmar, contributing to broader discussions within the contexts of Mainland Southeast Asia and southern China.

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)0.002
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 score0.009
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.009
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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