Current Analysis of Hangings That Deviates From Recently Published Studies
Bibliographic record
Abstract
The constellation of injuries observed in hangings is a subject receiving frequent review in forensic pathology literature. Whereas recent studies have reported high concordance between hangings and internal findings such as strap muscle hemorrhages and hyoid bone and thyroid cartilage fractures, a 2-part study examining autopsied suicidal hangings over a 9-year period at the Wayne County Medical Examiner's Office produced markedly differing results. Retrospectively and prospectively, external and internal autopsy observations were correlated with factors such as age, sex, body height, body mass index, ligature, and height of suspension. In keeping with well-established forensic textbooks, nearly all cases displayed ligature marks and there was strong association between body position and the presence of petechiae. Diverging from contemporary articles, there was a distinctive paucity of internal injuries in both retrospective and prospective portions. Addressing concerns of confirmation bias, assessments confirmed the consistency in identifying and documenting injuries by the pathologists both retrospectively and prospectively.
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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 | 0.010 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.019 | 0.020 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".