“Homicide by Heart Attack” Revisited
Bibliographic record
Abstract
The sudden death of a person caused by an arrhythmia that is induced by physical and/or emotional stress provoked by the criminal activity of another person is sometimes referred to as "homicide by heart attack." Published criteria for such an event relate to situations where no physical contact occurs between the perpetrator and the victim. Situations involving physical contact, but with absence of lethal injuries, are frequently treated is a similar fashion by forensic pathologists. Herein, we propose a set of modified criteria, which include cases where physical contact has occurred. Five examples of so-called "homicide by heart attack" are presented, including a 40-year-old man who was struck in the head with a wooden statue, a 74-year-old man who was punched in the jaw by a robber, a 66-year-old woman who was started awake by a home-intruder, a 67-year-old woman who struggled with a would-be purse-snatcher in a parking lot, and a 52-year-old man who was in a physical altercation with a younger man. In each instance, autopsy revealed the presence of severe, underlying heart disease, as well as absence of lethal injuries. In each case, investigative information was such that the emotional and/or physical stress associated with the criminal activity of another individual was deemed contributory to the death. The presumed mechanism of death in each case was a cardiac dysrhythmia related to underlying heart disease, but initiated by the emotional and/or physical stress.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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".