Characteristics of Medical Examiner/Coroner Offices Accredited by the National Association of Medical Examiners
Bibliographic record
Abstract
The National Association of Medical Examiners accredits medical examiner and coroner offices. Approximately 60 offices were fully or provisionally accredited as of late 2011, and these offices serve one-quarter of the U.S. population. The calculated average population served was 1.6M but ranged from 0.3 to 10.5M. The calculated mean death rate was 794 deaths/100K population, and the mean homicide rate was 7.2 homicides/100K population. The calculated mean budget was $4.35M, but budgets ranged from $0.67 to $26.8M. The calculated mean budget/capita was $3.02 but ranged from $0.62 to $10.22. The average size of the facility was under 30,000 sq. ft. The calculated average staffing was found to include five forensic pathologists, four and a half autopsy technicians, and nine investigators. The mean forensic pathologists/1M population was 3.7. Calculated workload indices included 222 autopsies/pathologist and an autopsy rate of 77.6/100K population. These results show that offices of every size can achieve accreditation.
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".