Y chromosome diversity in Aztlan descendants and its implications for the history of central Mexico
Bibliographic record
Abstract
Native Mexican populations are crucial for understanding the genetic ancestry of \nAztec descendants and coexisting ethnolinguistic groups in the Valley of Mexico \nand elucidating the population dynamics of the prehistoric colonization of the \nAmericas. Mesoamerican societies were multicultural in nature and also experienced \nsignificant admixture during Spanish colonization of the region. Despite \nthese facts, Native Mexican Y chromosome diversity has been greatly understudied. \nTo further elucidate their genetic history, we conducted a high-resolution \nY chromosome analysis with Chichimecas, Nahuas, Otomies, Popolocas, Tepehuas, \nand Totonacas using 19 Y-short tandem repeat and 21 single \nnucleotide polymorphism loci.We detected enormous paternal genetic diversity \nin these groups, with haplogroupsQ-MEH2, Q-M3,Q-Z768, Q-L663, Q-Z780, and \nQ-PV3 being identified. These data affirmed the southward colonization of the \nAmericas via Beringia and connected Native Mexicans with indigenous populations \nfrom South-Central Siberia and Canada. They also suggested that multiple \npopulation dispersals gave rise to Y chromosome diversity in these populations.
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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) | 0.001 | 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".