UNIQUE ASPECTS OF WEST COAST TREPONEMATOSIS
Bibliographic record
Abstract
Skeletal populations from the western coast of North America clearly were afflicted with a treponemal disease very different from that previously documented elsewhere in North America. Six populations from west of the Sierra Cascades were compared with 5 sites east of the Cascades. A high population frequency (both in adults and subadults) of pauci-ostotic, periostitis was noted in the six western skeletal populations, identical to that reported previously with bejel in Negev Bedouins, Sudanese Nubians, and the Kit site from Iraq. Early populations, from east of the Cascades, had a very different polyostotic disease pattern, characteristic of yaws, and identical to that previously reported in Guam. Both patterns were clearly distinguished from syphilis, which appears to be a later development (mutation?). This study provides evidence that the treponematoses were transported to the New World by way of at least two migrations, one bringing yaws; the other, bejel. The population with bejel likely derived from a different population than that with yaws. Given the absence of treponemal disease variation in the very wide spectrum of environments represented by the bejel-afflicted populations, it is clear that environment is not the factor determining disease character. This study expands on animal studies documenting that the individual treponematoses are separate diseases and not simply climate-induced variation
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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 | 0.000 | 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 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".