Living Victims of Strangulation
Bibliographic record
Abstract
The prevalence of reported domestic violence or intimate partner violence has greatly increased, with approximately 1.5 million women violently assaulted annually in the United States by an intimate partner. Strangulation is often seen in violence against women, including domestic violence cases. Strangulation is defined as "a form of asphyxia characterized by closure of the blood vessels or air passages of the neck as a result of external pressure on the neck." This is a 10-year case review of 102 living victims of strangulation who underwent medicolegal evaluation at the Clinical Forensic Medicine Program at a State Medical Examiner's Office serving Southern Indiana and all of Kentucky. The majority of victims (79%) were strangled by an intimate partner, and manual strangulation was the most common method (83%). A total of 38 victims (38%) described a history of domestic violence, and the same number lost consciousness while being strangled. Nine (9%) women were pregnant at the time of the attack, while 13 (13%) had a history of being sexually abused in addition to being strangled. A paucity of cases involved only strangulation, as most of the victims were subjected to myriad forms of blunt force trauma which included not only the head and neck but also other bodily regions. This is a unique presentation of strangulation of living persons as most evidence of strangulation in the forensic literature has been derived from postmortem examinations of the victims. This comprehensive study discussing the examination of a living strangulation victim offers valuable insight into the mechanism and the physical findings involved in the strangulation process.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".