The Implications of Thermogenic Modification for Anthropological Recovery of Burned Bone
Bibliographic record
Abstract
Burn trauma is prevalent in both archaeological and forensic records. It causes thermogenic modifications that have implications for the discipline of anthropology. Anthropologists and medical professionals are frequently the experts called to address burn trauma cases, often in the role of forensic anthropologists. This project seeks to discuss the processes of burn trauma and the resulting changes, as well as how the professionals in the fields of archaeology, anthropology, and medicine are discussing the recovery and analysis of burned human remains. An experiment is used to demonstrate these changes and compare them to those documented by experts in the field. A literature review discusses the processes of burn trauma and the resulting thermogenic modifications that are seen in the scholarly literature on the topic. The author makes recommendations for future research, namely the inclusion of weight in the recorded factors during experimentation and continued research into the recovery of burned remains. The author argues that the bioarchaeological approach of forensic anthropology benefits from the combined experience of archaeologists, biological anthropologists, and medical experts who have a background in osteology and biomechanics.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".