Craniometric variation and population history of the prehistoric Tewa
Bibliographic record
Abstract
Although the population history and social organization of the prehistoric Pueblo Indians of the American Southwest have received attention in the archaeological literature, little research on this topic has been conducted by biological anthropologists. Here, we examine postmarital residence at two ancestral Tewa Indian pueblos located in north-central New Mexico using determinant ratio analysis. In addition, we examine genetic relationships among pueblos, as well as levels of within-pueblo heterogeneity due to gene flow from extraregional sources, or regional aggregation. Results from determinant ratio analysis indicate greater within-pueblo male variation, consistent with matrilocal residence for at least one Tewa pueblo. Less than expected heterogeneity at two pueblos suggests that endogamy might have been practiced among some prehistoric Tewa pueblos. Gene flow from extraregional sources is indicated for two different pueblos by greater than expected within-group heterogeneity. Distance matrix correlation analyses indicate little if any relationship between phenotypic and geographic distances, suggesting that geography was not the primary basis of gene flow or mate exchange. The weak relationship between phenotypic and geographic distances may be the combined effects of endogamy at some pueblos, nonrandom extraregional gene flow or migration at other pueblos, and limited nonproximity-dependent regional gene flow or migration among pueblos, possibly structured on ritual exchange networks based on medicine society affiliation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".