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Record W2765719051 · doi:10.1163/22105018-12340089

A Comparative Analysis of Chinese Historical Sources and y-dna Studies with Regard to the Early and Medieval Turkic Peoples

2017· article· en· W2765719051 on OpenAlexafffund
Joo‐Yup Lee, Shuntu Kuang

Bibliographic record

VenueInner Asia · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsHistoryPhysiognomyHomogeneousAncient DNAIdentity (music)GenealogyAncient historyGeographyClassicsAnthropologyDemographySociologyPopulationArt

Abstract

fetched live from OpenAlex

Abstract In the past 10 years, geneticists have investigated the genetic variation of modern Turkic populations as well as ancient dna of the Xiongnu and others. The accumulated findings of these surveys, however, have not been adequately noted by specialists in Inner Asian history. In order to fill this gap, we conducted a comparative analysis of textual information and genetic survey data on the early and medieval Turkic peoples. First, we examined the information on the origins, identity, and physiognomy of the early and medieval Turkic peoples contained in the Chinese Standard Histories ( zhengshi 正史). We then discussed how the findings of genetic surveys complement the textual information. Both Chinese histories and modern dna studies indicate that the early and medieval Turkic peoples were made up of heterogeneous populations. The Turkicisation of central and western Eurasia was not the product of migrations involving a homogeneous entity, but that of language diffusion.

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 score0.088
Threshold uncertainty score0.188

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.326
Teacher spread0.302 · 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

Citations11
Published2017
Admission routes2
Has abstractyes

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