Retrospective Analysis of Hanging Deaths in Ontario
Bibliographic record
Abstract
Hanging deaths from investigation standpoint are rarely problematic. Unusual circumstances can on occasion raise suspicion of foul play. Associated neck injuries are reported in the literature with variable frequency (from 0% to 76.8%). This study retrospectively analyzed 755 hanging deaths in Ontario (Canada) to evaluate the demographic features and circumstances of hanging fatalities, and the frequency of hanging-related neck injuries. A number of cases showed unusual/special circumstances (e.g., complex, double suicides, restraints). Among 632 cases with complete autopsies, hyoid and larynx fractures were present in 46 cases (7.3%) with the most common being isolated hyoid fractures. The incidence of cricoid fractures was 0.5% and cervical spine injuries, 1.1%. A higher incidence of neck injuries occurred among males, long drop hangings, and in cases with complete suspension. There was a tendency for the number of fractures to increase with increasing age and weight of the deceased.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".