Comparing Known and Reconstructed Circumstances of Death Involving a Blunt Force Trauma Mechanism through a Retrospective Analysis of 21 Skeletonized Individuals
Bibliographic record
Abstract
Little is known about to what extent the events surrounding death can be reliably reconstructed from blunt force trauma analysis alone. In this study, we reconstruct circumstances of death from a blind blunt force trauma analysis using a sample of 21 individuals of known death circumstances, obtained from two identified skeletal collections in Portugal. Fresh versus dry bone trauma and probable mechanism of fracture production were identified. The overall pattern of injuries was then used to reconstruct the most likely circumstances of death. Results show an agreement between the proposed and the reported circumstances for 13 individuals (68.4%), disagreement for 3 (15.8%), and similarity in 3 cases (15.8%). Although the significant amount of agreement highlights the potential of trauma analysis, the cases with disagreement draw attention to the pitfalls and shortcomings of attempting to reconstruct the death circumstances from skeletal trauma analysis alone.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".