An anthropological examination of classic Maya burials from Moho Cay, Belize: skeletal and dental evidence of demography, diet and health
Bibliographic record
Abstract
In the Maya area, archaeological excavations have yielded an abundance of skeletal material from a multitude of sites throughout Belize, Guatemala, Mexico, El Salvador and Honduras. In 1979, a series of excavations led by Heather McKillop at Moho Cay, Belize, revealed a number of human interments. This thesis analyzes the Moho Cay skeletal collection composed of remains from eight discrete Late Classic (A.D. 600-800) burials and nine other archaeological units. Skeletal and dental analysis of the remains included assessing minimum number of individuals per burial and establishing age and sex for each individual. The bones were also examined for signs of skeletal and dental pathology, as well as cultural modifications. Additionally, this thesis includes chi-square analysis of the occurrence of dental pathology and level of attrition as related to tooth class. As pathologies of the skeleton are direct reflections of the individual’s diet and health, the findings of this analysis present a picture of the health and diet of the Moho Cay community. Overall, this study has found that the Moho Cay Maya had moderate dental health and good overall health since few cases of skeletal pathology were observed. The results of this research do not corroborate the hypotheses of Late Classic decline in public health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".