Analysis of admixture proportions in seven geographical regions of the state of Guerrero, Mexico
Bibliographic record
Abstract
OBJECTIVE: Mexico's current population structure has been defined by admixture between European, Native American, and to some extent African, groups that started in the sixteenth century. The aim of this research was to analyze the relative contributions of these continental population groups to the seven regions of the state of Guerrero, Mexico. METHODS: A total of 104 ancestry informative markers were analyzed in 480 unrelated women from the seven regions of the state of Guerrero. The individual ancestry proportions were estimated using the software ADMIXMAP v3.2. RESULTS: The relative Native American, European and African ancestral contributions to the whole sample were estimated to be 69%, 27%, and 1.9%, respectively. We observed significant differences in admixture proportions across the regions. The highest average Native American ancestry was found in the Montaña region and the lowest in Costa Grande. Conversely, the highest European contribution was observed in Costa Grande. The highest African contributions were observed in the regions of Costa Chica and Costa Grande. CONCLUSIONS: The genetic structure of the population of Guerrero reflects quite well the historical processes that have occurred in this state. Native American population settlements were mainly in the regions of Montaña, Norte, and Centro, where the highest indigenous genetic contribution is observed today. European settlers came from the center of the state to regions with significant agricultural and mining activities. The highest African contributions are observed in coastal regions, in agreement with historical evidence about slave trade routes in the Americas.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".