Bibliographic record
Abstract
The earliest human occupation of the White Mountains region occurred approximately 11 000 14 C years ago. A suite of stylistically and technologically distinctive chipped stone tools have been found that correlate with similar artifacts and assemblages known across North America and identified as Paleoindian. This culture endured in the White Mountains for at least a millennium and coincided, at least in part, with the Younger Dryas climatic episode. Seven Paleoindian sites and their artifact assemblages are described. These sites appear to correlate with major river drainages and to articulate with widely separated Paleoindian sites outside the region. Key to the interpretation of these sites is the identification of the sources of the lithics used by the Paleoindians for their tools. Local rhyolite was acquired for use in two localities, Berlin and Jefferson, NH and chert from the Munsungun Lake region of northern Maine was imported. The movement of these lithics into and out of the White Mountains provides a perspective on inter-regional movement and contacts. The persistence and extent of the Paleoindian occupation of the White Mountains is a testimony to the highly successful adaptation to a harsh and variable climate, however the mechanisms of the subsistence and settlement patterns are poorly known. A broad outline of directions for future research is offered, with an emphasis on chronology and environmental reconstruction.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".