Hemorrhagic Lividity of the Neck
Bibliographic record
Abstract
Postmortem hypostasis (livor mortis or lividity) is classically defined as the intravascular pooling of blood in gravitationally dependent parts of the body after death. However, intense lividity can be associated with small hemorrhages in the skin, so-called postmortem hypostatic hemorrhages (Tardieu spots). Postmortem hypostatic hemorrhages seem to contradict the usual understanding of lividity, since hemorrhage is by definition an extravascular phenomenon. Substantive medicolegal difficulties can arise if such hemorrhagic lividity develops in the necks of bodies that have ventral lividity due to prone position at the death scene. To study this phenomenon, we have developed a model for the controlled formation of hypostatic hemorrhages in human cadavers. In this model, extensive hypostatic hemorrhages or hemorrhagic lividity could be reproducibly but not universally induced in the soft tissues of the anterior neck and strap muscles. Histologic examination revealed hemorrhage that was microscopically indistinguishable from the acute hemorrhages observed in contusions. In addition, some larger areas of interstitially extravasated blood showed "buffy coat"-sedimentation separation of neutrophils that closely mimicked acute inflammation, further confounding the correct diagnosis. This research implies that hypostatic hemorrhages form after the progressive development of increasing gravitational hydrostatic pressure in an autolysing venous plexus. Thus, this phenomenon can mimic soft tissue injury ("pseudo-bruising") and the internal injuries related to strangulation. Caution must be exercised when diagnosing strangulation in bodies with anterior neck lividity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".