A Comparative Analysis of Chinese Historical Sources and y-dna Studies with Regard to the Early and Medieval Turkic Peoples
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".