The peopling of the Americas and the origin of the Beringian occupation model
Bibliographic record
Abstract
The current model for peopling of the Americas involves divergence from an ancestral Asian population followed by a period of population isolation and genetic diversification in Beringia, and finally, a rapid expansion into and throughout the Americas. Studies in the 1970s sought to characterize the biological relationships between different indigenous populations and first proposed an occupation of Beringia. More recent studies using molecular genetic markers often neglect to reference early works that laid the groundwork for current colonization models. We address this matter, and briefly summarize the literature and technological advances that contributed to our current understanding of the peopling of the Americas. Furthermore, we argue that describing the process of peopling of the Americas as "migrations from Asia" minimizes the significant genetic diversification that occurred outside of Asia, and offends indigenous Americans by discounting their origin narratives and land rights. Rather than referring to the indigenous peoples of the Americas as "migrants" or "immigrants," we recommend consistency in the language used to describe all post-glacial expansions of people into Asia, Europe and the Americas.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".