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Record W3091922814 · doi:10.1002/oa.2923

Agriculturalization of the Nomad‐Dominated Empires of the Northern Wei Dynasty in Pingcheng city (398–494 <scp>ad</scp>): A stable isotopic study on animal and human bones from the Jinmaoyuan cemetery, China

2020· article· en· W3091922814 on OpenAlexaff
Guowen Zhang, Xiaogang Hou, LI Shu-yun, Yawei Zhou, Michael P. Richards

Bibliographic record

VenueInternational Journal of Osteoarchaeology · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsSimon Fraser University
FundersNational Office for Philosophy and Social Sciences
KeywordsAnimal husbandryChinaHuman boneHuman animalAgricultureArchaeologyAncient historyFish <Actinopterygii>GeographyHistoryVeterinary medicineBiologyLivestockMedicineFisheryForestry

Abstract

fetched live from OpenAlex

Abstract To investigate the agriculturalization of the Nomad‐Dominated Empires of the Northern Wei Dynasty, we analysed the δ 13 C and δ 15 N values of animal and human bone/dentine collagen from the Jingmaoyuan cemetery, Datong city, China. The majority of the Jingmaoyuan humans predominately relied on a diet of C 4 plants, likely millets and/or domestic animals fed on by‐products of millet. Other individuals had a C 3 /C 4 mixed diet, indicating diets with more protein from domestic animals and/or freshwater fish. The economy of millet‐based agriculture and diversified animal husbandry together with the integration between the nomadic Tuoba Xianbei and Han Chinese in Pingcheng city probably were driving forces behind the agriculturalization and development of the Northern Wei Pingcheng period (398–494 ad ).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.224
Teacher spread0.203 · 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.

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

Citations10
Published2020
Admission routes1
Has abstractyes

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