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Record W282852298 · doi:10.1520/jfs14737j

A Triad of Laryngeal Hemorrhages in Strangulation: A Report of Eight Cases

2000· article· en· W282852298 on OpenAlexaff
MS Pollanen

Bibliographic record

VenueJournal of Forensic Sciences · 2000
Typearticle
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsTriad (sociology)MedicinePoison controlSurgeryGeneral surgeryMedical emergencyPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

The results of histological studies on larynges from eight cases of manual strangulation, all that had intracartilaginous laryngeal hemorrhages, a recently described and under-recognized lesion associated with strangulation, are reported. Formalin-fixed larynges were examined in serial section using a standardized protocol. In all cases, intracartilaginous laryngeal hemorrhages were associated with subepithelial laryngeal hemorrhages, and intralaryngeal muscular hemorrhages forming a "triad of hemorrhages." In five cases, the triad was found in the presence of laryngeal cartilage microfractures. Since cartilage microfractures can be causally related to mechanical injury to the neck, it is likely that the triad of hemorrhages has diagnostic value as an independent morphological criterion for the postmortem diagnosis of strangulation. Since a proportion of cases of strangulation lack characteristics that are self-evidently due to violent application of pressure on the neck, recognition of the triad may have important implications for the postmortem diagnosis of strangulation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.033
GPT teacher head0.328
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2000
Admission routes1
Has abstractyes

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